problem string | Differential_Diagnoses list | Differential_Diagnoses_ICD10s list | answers list | Differential_Probabilities list | Differential_Answer_Text string | source string | id int64 | rlvr-multi-standard-chkpt220-prompt string | rlvr-multi-standard-chkpt220-output_0 string | rlvr-multi-standard-chkpt220-evals list | rlvr-multi-standard-chkpt220-candidate_correctness list | rlvr-multi-standard-chkpt220-which_answers list | rlvr-multi-standard-chkpt220-c_lengths list | rlvr-multi-standard-chkpt220-confidence_levels list | rlvr-multi-standard-chkpt220-conf_format_adherence list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 57
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Localized edema",
"Chagas",
"Anaphylaxis"
] | [
"R60.0",
"B57",
"T78.0"
] | [
"Localized edema",
"Chagas",
"Anaphylaxis",
"R60.0",
"B57",
"T78.0"
] | [
0.6962,
0.1924,
0.1114
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Localized edema (ICD-10: R60.0)
Probability: 0.6962 (69.62%)
2. Chagas (ICD-10: B57)
Probability: 0.1924 (19.24%)
3. Anaphylaxis (ICD-10: T7... | medDataset | 9,483,938,858 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 57-year-old male presenting with pain and swelling, along with several medical antecedents. First, the symptoms: he has pain described as tedious, tugging, heavy, and sharp, localized to the right ankle, left ankle, left thigh, right dorsal foot, and left dorsal fo... | [
0,
0,
0
] | [
0,
0,
0
] | [
-1,
-1,
-1
] | [
4434
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 46
Sex: F
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Viral pharyngitis",
"URTI",
"Chronic rhinosinusitis",
"Bronchitis",
"Acute rhinosinusitis",
"Acute laryngitis",
"Influenza",
"Tuberculosis",
"Chagas"
] | [
"J02.9",
"j06.9",
"j32",
"j40",
"j01",
"J04.0",
"j11.1",
"a15",
"B57"
] | [
"Viral pharyngitis",
"URTI",
"Chronic rhinosinusitis",
"Bronchitis",
"Acute rhinosinusitis",
"Acute laryngitis",
"Influenza",
"Tuberculosis",
"Chagas",
"J02.9",
"j06.9",
"j32",
"j40",
"j01",
"J04.0",
"j11.1",
"a15",
"B57"
] | [
0.1523,
0.1512,
0.1217,
0.1204,
0.1123,
0.1012,
0.098,
0.0968,
0.046
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Viral pharyngitis (ICD-10: J02.9)
Probability: 0.1523 (15.23%)
2. URTI (ICD-10: j06.9)
Probability: 0.1512 (15.12%)
3. Chronic rhinosinusiti... | medDataset | 4,060,171,835 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 46-year-old female presenting with several symptoms. The main issues are pain, fever, loss of smell, nasal congestion, cough, and a history of smoking, pneumonia, nasal polyps, deviated septum, and asthma.
First, the pain is described as burning and sharp, locate... | [
0,
0,
1
] | [
0,
0,
1
] | [
-1,
-1,
3
] | [
3740
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 38
Sex: F
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Possible NSTEMI / STEMI"
] | [
"I21"
] | [
"Possible NSTEMI / STEMI",
"I21"
] | [
1
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Possible NSTEMI / STEMI (ICD-10: I21)
Probability: 1.0000 (100.00%) | medDataset | 2,639,802,546 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 38-year-old woman with several risk factors. She has HIV, diabetes, high cholesterol, high blood pressure, is overweight, and smokes. The main symptom is severe pain in the lower chest and left side, with sharp and sickening characteristics. The pain radiates to th... | [
0,
0,
0
] | [
0,
0,
0
] | [
-1,
-1,
-1
] | [
2339
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 38
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Panic attack",
"PSVT",
"Guillain-Barré syndrome",
"Anaphylaxis",
"GERD",
"Inguinal hernia",
"Anemia",
"Scombroid food poisoning"
] | [
"f41",
"I47.1",
"G61.0",
"T78.0",
"K21",
"K40",
"D64.9",
"T61.1"
] | [
"Panic attack",
"PSVT",
"Guillain-Barré syndrome",
"Anaphylaxis",
"GERD",
"Inguinal hernia",
"Anemia",
"Scombroid food poisoning",
"f41",
"I47.1",
"G61.0",
"T78.0",
"K21",
"K40",
"D64.9",
"T61.1"
] | [
0.2244,
0.1808,
0.1571,
0.1135,
0.1022,
0.0989,
0.0624,
0.0607
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Panic attack (ICD-10: f41)
Probability: 0.2244 (22.44%)
2. PSVT (ICD-10: I47.1)
Probability: 0.1808 (18.08%)
3. Guillain-Barré syndrome (ICD... | medDataset | 9,561,180,917 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 38-year-old male presenting with severe flank pain (both sides), along with symptoms like choking, dizziness, fear of dying, palpitations, numbness, tingling, and a feeling of detachment. He also has a history of anxiety, alcohol addiction, depression, fibromyalgia... | [
1,
0,
0
] | [
1,
0,
0
] | [
0,
-1,
-1
] | [
4564
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 65
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Viral pharyngitis",
"Bronchitis",
"URTI",
"Possible NSTEMI / STEMI",
"Unstable angina",
"Stable angina"
] | [
"J02.9",
"j40",
"j06.9",
"I21",
"I20.0",
"I20.9"
] | [
"Viral pharyngitis",
"Bronchitis",
"URTI",
"Possible NSTEMI / STEMI",
"Unstable angina",
"Stable angina",
"J02.9",
"j40",
"j06.9",
"I21",
"I20.0",
"I20.9"
] | [
0.2691,
0.2395,
0.178,
0.1462,
0.1171,
0.0501
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Viral pharyngitis (ICD-10: J02.9)
Probability: 0.2691 (26.91%)
2. Bronchitis (ICD-10: j40)
Probability: 0.2395 (23.95%)
3. URTI (ICD-10: j06... | medDataset | 941,505,882 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 65-year-old male presenting with pain in the tonsils on both sides, thyroid cartilage, and under the jaw. The pain is burning and severe (intensity 7). He also has nasal congestion, cough, and a history of contact with someone with similar symptoms in the past two ... | [
0,
0,
0
] | [
0,
0,
0
] | [
-1,
-1,
-1
] | [
1820
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 29
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"URTI",
"Bronchitis",
"Pneumonia",
"Influenza",
"Bronchiectasis",
"Cluster headache",
"Chronic rhinosinusitis",
"Acute rhinosinusitis",
"Chagas",
"Anemia"
] | [
"j06.9",
"j40",
"j17, j18",
"j11.1",
"J47",
"g44.009",
"j32",
"j01",
"B57",
"D64.9"
] | [
"URTI",
"Bronchitis",
"Pneumonia",
"Influenza",
"Bronchiectasis",
"Cluster headache",
"Chronic rhinosinusitis",
"Acute rhinosinusitis",
"Chagas",
"Anemia",
"j06.9",
"j40",
"j17, j18",
"j11.1",
"J47",
"g44.009",
"j32",
"j01",
"B57",
"D64.9"
] | [
0.156,
0.1435,
0.1332,
0.124,
0.0975,
0.0963,
0.0937,
0.0673,
0.0443,
0.0443
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. URTI (ICD-10: j06.9)
Probability: 0.1560 (15.60%)
2. Bronchitis (ICD-10: j40)
Probability: 0.1435 (14.35%)
3. Pneumonia (ICD-10: j17, j18)
... | medDataset | 4,038,761,174 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 29-year-old male presenting with several symptoms. Let me go through each symptom and antecedent step by step.
First, the symptoms: he has increased sweating, pain, and specific locations of pain. The pain is described as tedious, located in the right and left che... | [
0,
0,
1
] | [
0,
0,
1
] | [
-1,
-1,
3
] | [
2048
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 55
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"URTI",
"Bronchitis",
"Pneumonia",
"Influenza",
"Bronchiectasis",
"Tuberculosis",
"Ebola",
"Chronic rhinosinusitis",
"Chagas",
"Acute rhinosinusitis"
] | [
"j06.9",
"j40",
"j17, j18",
"j11.1",
"J47",
"a15",
"a98.4",
"j32",
"B57",
"j01"
] | [
"URTI",
"Bronchitis",
"Pneumonia",
"Influenza",
"Bronchiectasis",
"Tuberculosis",
"Ebola",
"Chronic rhinosinusitis",
"Chagas",
"Acute rhinosinusitis",
"j06.9",
"j40",
"j17, j18",
"j11.1",
"J47",
"a15",
"a98.4",
"j32",
"B57",
"j01"
] | [
0.1556,
0.1456,
0.1303,
0.1031,
0.0974,
0.089,
0.075,
0.0533,
0.039,
0.0345
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. URTI (ICD-10: j06.9)
Probability: 0.1556 (15.56%)
2. Bronchitis (ICD-10: j40)
Probability: 0.1456 (14.56%)
3. Pneumonia (ICD-10: j17, j18)
... | medDataset | 6,241,479,365 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 55-year-old male presenting with several symptoms. The main issues are pain at the top of the head, cheek (right), temple (left), described as sensitive and heavy. The pain intensity is 3 out of 10, doesn't radiate, and appeared quickly. He also has a cough with co... | [
1,
0,
0
] | [
1,
0,
0
] | [
3,
-1,
-1
] | [
2482
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 75
Sex: F
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Anaphylaxis",
"Unstable angina",
"Acute pulmonary edema",
"Boerhaave",
"Possible NSTEMI / STEMI",
"Epiglottitis",
"Scombroid food poisoning",
"GERD",
"Pulmonary embolism",
"Larygospasm",
"Pancreatic neoplasm",
"Inguinal hernia",
"Stable angina",
"Panic attack",
"Guillain-Barré syndrome"... | [
"T78.0",
"I20.0",
"J81.0",
"K22.3",
"I21",
"J05.1",
"T61.1",
"K21",
"i26",
"J38.5",
"c25",
"K40",
"I20.9",
"f41",
"G61.0",
"B57",
"I48.91",
"I30",
"G24.02",
"G70.0",
"D64.9"
] | [
"Anaphylaxis",
"Unstable angina",
"Acute pulmonary edema",
"Boerhaave",
"Possible NSTEMI / STEMI",
"Epiglottitis",
"Scombroid food poisoning",
"GERD",
"Pulmonary embolism",
"Larygospasm",
"Pancreatic neoplasm",
"Inguinal hernia",
"Stable angina",
"Panic attack",
"Guillain-Barré syndrome"... | [
0.0723,
0.0598,
0.0593,
0.0569,
0.0515,
0.0507,
0.0492,
0.0491,
0.0478,
0.0463,
0.0449,
0.0425,
0.0418,
0.0401,
0.0396,
0.0393,
0.0379,
0.0364,
0.0279,
0.0279,
0.0279
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Anaphylaxis (ICD-10: T78.0)
Probability: 0.0723 (7.23%)
2. Unstable angina (ICD-10: I20.0)
Probability: 0.0598 (5.98%)
3. Acute pulmonary ed... | medDataset | 4,410,002,390 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 75-year-old female presenting with several symptoms. Let me go through each symptom and antecedent step by step.
First, the main symptoms: she has diarrhea and increased stool frequency. There's severe pain described as a knife stroke in the iliac fossa on the rig... | [
1,
0,
0
] | [
1,
0,
0
] | [
0,
-1,
-1
] | [
5124
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 31
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Bronchitis",
"Acute laryngitis",
"Tuberculosis",
"Viral pharyngitis",
"Possible NSTEMI / STEMI",
"Unstable angina"
] | [
"j40",
"J04.0",
"a15",
"J02.9",
"I21",
"I20.0"
] | [
"Bronchitis",
"Acute laryngitis",
"Tuberculosis",
"Viral pharyngitis",
"Possible NSTEMI / STEMI",
"Unstable angina",
"j40",
"J04.0",
"a15",
"J02.9",
"I21",
"I20.0"
] | [
0.2473,
0.1697,
0.1623,
0.1525,
0.1387,
0.1295
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Bronchitis (ICD-10: j40)
Probability: 0.2473 (24.73%)
2. Acute laryngitis (ICD-10: J04.0)
Probability: 0.1697 (16.97%)
3. Tuberculosis (ICD-... | medDataset | 5,558,230,261 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 31-year-old male presenting with pain, specifically in the tonsil, thyroid cartilage, palate, and pharynx, along with under the jaw. The pain is described as sensitive and burning, with a severity of 3 out of 10. He has a fever and a cough. The pain doesn't radiate... | [
0,
1,
0
] | [
0,
1,
0
] | [
-1,
3,
-1
] | [
2731
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 4
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Bronchitis",
"Pneumonia",
"Viral pharyngitis",
"Tuberculosis"
] | [
"j40",
"j17, j18",
"J02.9",
"a15"
] | [
"Bronchitis",
"Pneumonia",
"Viral pharyngitis",
"Tuberculosis",
"j40",
"j17, j18",
"J02.9",
"a15"
] | [
0.3358,
0.3159,
0.2071,
0.1412
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Bronchitis (ICD-10: j40)
Probability: 0.3358 (33.58%)
2. Pneumonia (ICD-10: j17, j18)
Probability: 0.3159 (31.59%)
3. Viral pharyngitis (ICD... | medDataset | 2,637,341,948 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 4-year-old male presenting with pain, specifically in the tonsils and pharynx, along with a fever and cough. The pain is described as sensitive and burning, with a moderate intensity. The symptoms appeared quickly, and there's a history of contact with someone who ... | [
1,
0,
0
] | [
1,
0,
0
] | [
2,
-1,
-1
] | [
1633
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 3
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Chagas",
"Anaphylaxis",
"Scombroid food poisoning",
"Sarcoidosis"
] | [
"B57",
"T78.0",
"T61.1",
"d86"
] | [
"Chagas",
"Anaphylaxis",
"Scombroid food poisoning",
"Sarcoidosis",
"B57",
"T78.0",
"T61.1",
"d86"
] | [
0.2586,
0.193,
0.0822,
0.0264
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. HIV (initial infection) (ICD-10: B20)
Probability: 0.4398 (43.98%)
2. Chagas (ICD-10: B57)
Probability: 0.2586 (25.86%)
3. Anaphylaxis (ICD-... | medDataset | 6,873,776,591 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 3-year-old male presenting with several symptoms. First, the swollen or painful lymph nodes, increased sweating, diarrhea, pain, and a sore throat. Also, there's a rash on the gums and labia majora, along with diffuse muscle pain and unintentional weight loss. The ... | [
0,
0,
0
] | [
0,
0,
0
] | [
-1,
-1,
-1
] | [
3025
] | [
0.85
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 99
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Possible NSTEMI / STEMI",
"Unstable angina",
"Boerhaave",
"GERD",
"Chagas",
"Anemia",
"Anaphylaxis",
"Acute laryngitis",
"Scombroid food poisoning",
"Pericarditis",
"Stable angina",
"Viral pharyngitis"
] | [
"I21",
"I20.0",
"K22.3",
"K21",
"B57",
"D64.9",
"T78.0",
"J04.0",
"T61.1",
"I30",
"I20.9",
"J02.9"
] | [
"Possible NSTEMI / STEMI",
"Unstable angina",
"Boerhaave",
"GERD",
"Chagas",
"Anemia",
"Anaphylaxis",
"Acute laryngitis",
"Scombroid food poisoning",
"Pericarditis",
"Stable angina",
"Viral pharyngitis",
"I21",
"I20.0",
"K22.3",
"K21",
"B57",
"D64.9",
"T78.0",
"J04.0",
"T61.1... | [
0.2166,
0.1382,
0.1246,
0.1108,
0.101,
0.0872,
0.0466,
0.0429,
0.0372,
0.0367,
0.0315,
0.0268
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Possible NSTEMI / STEMI (ICD-10: I21)
Probability: 0.2166 (21.66%)
2. Unstable angina (ICD-10: I20.0)
Probability: 0.1382 (13.82%)
3. Boerha... | medDataset | 7,658,880,836 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 99-year-old male with several symptoms and antecedents. The main symptoms include severe pain described as heavy, sharp, and sickening, located in the biceps, thyroid cartilage, right side of the chest, upper chest, and left breast. The pain is intense (7/10) and r... | [
0,
0,
0
] | [
0,
0,
0
] | [
-1,
-1,
-1
] | [
3221
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 22
Sex: F
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Bronchitis",
"Viral pharyngitis",
"Possible NSTEMI / STEMI",
"Unstable angina",
"Stable angina"
] | [
"j40",
"J02.9",
"I21",
"I20.0",
"I20.9"
] | [
"Bronchitis",
"Viral pharyngitis",
"Possible NSTEMI / STEMI",
"Unstable angina",
"Stable angina",
"j40",
"J02.9",
"I21",
"I20.0",
"I20.9"
] | [
0.3378,
0.2156,
0.1962,
0.1831,
0.0673
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Bronchitis (ICD-10: j40)
Probability: 0.3378 (33.78%)
2. Viral pharyngitis (ICD-10: J02.9)
Probability: 0.2156 (21.56%)
3. Possible NSTEMI /... | medDataset | 1,774,754,631 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 22-year-old female presenting with pain in the tonsil, thyroid cartilage, palate, and pharynx, along with under the jaw. The pain is described as sensitive and burning, with an intensity of 3. She has a cough. The pain doesn't radiate elsewhere. She's been in conta... | [
1,
0,
0
] | [
1,
0,
0
] | [
1,
-1,
-1
] | [
2806
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 21
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Localized edema",
"Chagas",
"Anaphylaxis"
] | [
"R60.0",
"B57",
"T78.0"
] | [
"Localized edema",
"Chagas",
"Anaphylaxis",
"R60.0",
"B57",
"T78.0"
] | [
0.6962,
0.1924,
0.1114
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Localized edema (ICD-10: R60.0)
Probability: 0.6962 (69.62%)
2. Chagas (ICD-10: B57)
Probability: 0.1924 (19.24%)
3. Anaphylaxis (ICD-10: T7... | medDataset | 838,831,364 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 21-year-old male presenting with pain and swelling in the ankles and feet. The pain is described as sharp, sensitive, and tedious, with a high intensity. The swelling is in both ankles and the dorsal aspects of the feet. He's gained weight recently.
Looking at th... | [
0,
0,
0
] | [
0,
0,
0
] | [
-1,
-1,
-1
] | [
2438
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 37
Sex: F
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Guillain-Barré syndrome",
"Panic attack",
"Myasthenia gravis",
"Pulmonary embolism",
"Acute pulmonary edema",
"Atrial fibrillation",
"Acute dystonic reactions",
"Anemia",
"Anaphylaxis",
"Scombroid food poisoning",
"PSVT",
"SLE"
] | [
"G61.0",
"f41",
"G70.0",
"i26",
"J81.0",
"I48.91",
"G24.02",
"D64.9",
"T78.0",
"T61.1",
"I47.1",
"M34"
] | [
"Guillain-Barré syndrome",
"Panic attack",
"Myasthenia gravis",
"Pulmonary embolism",
"Acute pulmonary edema",
"Atrial fibrillation",
"Acute dystonic reactions",
"Anemia",
"Anaphylaxis",
"Scombroid food poisoning",
"PSVT",
"SLE",
"G61.0",
"f41",
"G70.0",
"i26",
"J81.0",
"I48.91",
... | [
0.1632,
0.1323,
0.1268,
0.1042,
0.0976,
0.0852,
0.0628,
0.0628,
0.0628,
0.0397,
0.0336,
0.0291
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Guillain-Barré syndrome (ICD-10: G61.0)
Probability: 0.1632 (16.32%)
2. Panic attack (ICD-10: f41)
Probability: 0.1323 (13.23%)
3. Myastheni... | medDataset | 9,885,635,924 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 37-year-old woman presenting with several symptoms. She has shortness of breath, weakness in both arms and legs, facial weakness or paralysis, and numbness/tingling in arms, legs, and around the mouth. She also has a history of a recent viral infection.
First, the... | [
1,
0,
0
] | [
1,
0,
0
] | [
0,
-1,
-1
] | [
2933
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 68
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Pneumonia",
"Bronchitis",
"Influenza",
"Possible NSTEMI / STEMI",
"Unstable angina",
"Tuberculosis",
"Bronchiectasis",
"Scombroid food poisoning",
"Chagas",
"Pancreatic neoplasm",
"Pulmonary neoplasm",
"Stable angina",
"Panic attack"
] | [
"j17, j18",
"j40",
"j11.1",
"I21",
"I20.0",
"a15",
"J47",
"T61.1",
"B57",
"c25",
"c34",
"I20.9",
"f41"
] | [
"Pneumonia",
"Bronchitis",
"Influenza",
"Possible NSTEMI / STEMI",
"Unstable angina",
"Tuberculosis",
"Bronchiectasis",
"Scombroid food poisoning",
"Chagas",
"Pancreatic neoplasm",
"Pulmonary neoplasm",
"Stable angina",
"Panic attack",
"j17, j18",
"j40",
"j11.1",
"I21",
"I20.0",
... | [
0.133,
0.1269,
0.1066,
0.0735,
0.072,
0.0685,
0.0584,
0.056,
0.056,
0.0489,
0.0471,
0.0466,
0.0066
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Pneumonia (ICD-10: j17, j18)
Probability: 0.1330 (13.30%)
2. Bronchitis (ICD-10: j40)
Probability: 0.1269 (12.69%)
3. Influenza (ICD-10: j11... | medDataset | 1,909,383,163 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 68-year-old male with several symptoms. The main issues are pain described as sharp and knife-like, located in the breast, posterior chest wall, and thoracic/lumbar spine. There's also a rash that's pink, itchy, and peeling, along with systemic symptoms like fever,... | [
0,
1,
0
] | [
0,
1,
0
] | [
-1,
0,
-1
] | [
3354
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 5
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Guillain-Barré syndrome",
"Anemia",
"Scombroid food poisoning"
] | [
"G61.0",
"D64.9",
"T61.1"
] | [
"Guillain-Barré syndrome",
"Anemia",
"Scombroid food poisoning",
"G61.0",
"D64.9",
"T61.1"
] | [
0.5151,
0.297,
0.1879
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Guillain-Barré syndrome (ICD-10: G61.0)
Probability: 0.5151 (51.51%)
2. Anemia (ICD-10: D64.9)
Probability: 0.2970 (29.70%)
3. Scombroid foo... | medDataset | 54,556,618 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 5-year-old male presenting with shortness of breath, weakness in both arms and legs, and numbness/tingling in those areas plus around the mouth. He also has a history of numbness elsewhere.
First, the symptoms point towards neurological involvement. The weakness a... | [
1,
0,
0
] | [
1,
0,
0
] | [
0,
-1,
-1
] | [
3278
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 14
Sex: M
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"URTI",
"Bronchitis",
"Pneumonia",
"Influenza",
"Bronchiectasis",
"Tuberculosis",
"Chronic rhinosinusitis",
"Chagas"
] | [
"j06.9",
"j40",
"j17, j18",
"j11.1",
"J47",
"a15",
"j32",
"B57"
] | [
"URTI",
"Bronchitis",
"Pneumonia",
"Influenza",
"Bronchiectasis",
"Tuberculosis",
"Chronic rhinosinusitis",
"Chagas",
"j06.9",
"j40",
"j17, j18",
"j11.1",
"J47",
"a15",
"j32",
"B57"
] | [
0.1747,
0.1635,
0.1463,
0.1158,
0.1093,
0.1,
0.0599,
0.0438
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. URTI (ICD-10: j06.9)
Probability: 0.1747 (17.47%)
2. Bronchitis (ICD-10: j40)
Probability: 0.1635 (16.35%)
3. Pneumonia (ICD-10: j17, j18)
... | medDataset | 5,339,353,991 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 14-year-old male presenting with several symptoms. The main symptoms include pain in multiple areas of the head—forehead, right cheek, occiput, and temples. The pain intensity is moderate (rated 2), doesn't radiate, and appeared over a few days. He also has a cough... | [
0,
0,
0
] | [
0,
0,
0
] | [
-1,
-1,
-1
] | [
1867
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 102
Sex: F
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================... | [
"Viral pharyngitis",
"Bronchitis",
"Acute laryngitis",
"URTI",
"Possible NSTEMI / STEMI",
"Unstable angina",
"Stable angina"
] | [
"J02.9",
"j40",
"J04.0",
"j06.9",
"I21",
"I20.0",
"I20.9"
] | [
"Viral pharyngitis",
"Bronchitis",
"Acute laryngitis",
"URTI",
"Possible NSTEMI / STEMI",
"Unstable angina",
"Stable angina",
"J02.9",
"j40",
"J04.0",
"j06.9",
"I21",
"I20.0",
"I20.9"
] | [
0.227,
0.1913,
0.1509,
0.1502,
0.1233,
0.1151,
0.0423
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Viral pharyngitis (ICD-10: J02.9)
Probability: 0.2270 (22.70%)
2. Bronchitis (ICD-10: j40)
Probability: 0.1913 (19.13%)
3. Acute laryngitis ... | medDataset | 8,951,188,724 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is a 102-year-old female presenting with pain described as sensitive and burning, localized to the tonsil, thyroid cartilage, palate, and pharynx. The pain is severe (intensity 8) and appeared quickly (5). She also has nasal congestion, cough, and has been in contact wi... | [
0,
0,
1
] | [
0,
0,
1
] | [
-1,
-1,
0
] | [
2785
] | [
0.95
] | [
1
] |
PATIENT EXAMPLE
================================================================================
Demographics:
Age: 87
Sex: F
================================================================================
SYMPTOMS AND ANTECEDENTS:
================================================================================
... | [
"Bronchitis",
"Acute laryngitis",
"Tuberculosis",
"Epiglottitis",
"Viral pharyngitis",
"Possible NSTEMI / STEMI",
"Unstable angina"
] | [
"j40",
"J04.0",
"a15",
"J05.1",
"J02.9",
"I21",
"I20.0"
] | [
"Bronchitis",
"Acute laryngitis",
"Tuberculosis",
"Epiglottitis",
"Viral pharyngitis",
"Possible NSTEMI / STEMI",
"Unstable angina",
"j40",
"J04.0",
"a15",
"J05.1",
"J02.9",
"I21",
"I20.0"
] | [
0.2052,
0.1764,
0.1347,
0.1347,
0.1265,
0.1151,
0.1074
] | DIFFERENTIAL DIAGNOSIS:
================================================================================
Ranked list of possible conditions with probabilities:
1. Bronchitis (ICD-10: j40)
Probability: 0.2052 (20.52%)
2. Acute laryngitis (ICD-10: J04.0)
Probability: 0.1764 (17.64%)
3. Tuberculosis (ICD-... | medDataset | 5,342,943,316 | <|im_start|>system
A conversation between User and Assistant. The user presents a medical case, and the Assistant provides a differential diagnosis.
You are a medical expert analyzing patient information including patiet demographics, symptoms, and medical antecedents.
You must propose multiple DISTINCT possible diagno... | <think>
Okay, let's tackle this case. The patient is an 87-year-old female presenting with pain in the tonsil, pharynx, and under the jaw. The pain is described as sensitive and burning, with a severity of 6 out of 10. It started suddenly (appeared quickly). She also has a fever, cough, and a hoarse voice. She works in... | [
1,
0,
0
] | [
1,
0,
0
] | [
4,
-1,
-1
] | [
3233
] | [
0.95
] | [
1
] |
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