--- dataset_info: - config_name: cohort_full features: - name: subject_id dtype: int64 - name: ed_stay_id dtype: int64 - name: hadm_id dtype: int64 - name: ed_intime dtype: timestamp[us] - name: ed_outtime dtype: timestamp[us] - name: disposition dtype: large_string - name: race dtype: large_string - name: arrival_transport dtype: large_string - name: first_careunit dtype: large_string - name: first_icu_intime dtype: timestamp[us] - name: cohort_label dtype: large_string - name: gender dtype: large_string - name: anchor_age dtype: int64 - name: anchor_year dtype: int64 - name: admittime dtype: timestamp[us] - name: dischtime dtype: timestamp[us] - name: admission_type dtype: large_string - name: discharge_location dtype: large_string - name: insurance dtype: large_string - name: language dtype: large_string - name: marital_status dtype: large_string - name: ed_stay_id_2 dtype: float64 - name: stay_window_start dtype: timestamp[us] - name: stay_window_end dtype: timestamp[us] - name: ed_boarding_time_min dtype: float64 - name: time_steps dtype: int64 splits: - name: cohort_base num_bytes: 108446901 num_examples: 397670 download_size: 25727336 dataset_size: 108446901 - config_name: dispensed_meds features: - name: ed_stay_id dtype: int64 - name: subject_id dtype: int64 - name: hadm_id dtype: int64 - name: charttime dtype: timestamp[us] - name: medication dtype: large_string - name: event_txt dtype: large_string - name: in_er dtype: bool - name: drug_class dtype: large_string - name: action_idx dtype: int64 - name: minutes_into_stay dtype: float64 - name: time_step dtype: int64 splits: - name: er_and_ward num_bytes: 311238084 num_examples: 2675531 download_size: 33872234 dataset_size: 311238084 - config_name: ecg_results features: - name: ed_stay_id dtype: int64 - name: subject_id dtype: int64 - name: hadm_id dtype: int64 - name: ecg_time dtype: timestamp[us] - name: ecg_acuity dtype: int64 splits: - name: full_ecg num_bytes: 6226839 num_examples: 155186 download_size: 4053167 dataset_size: 6226839 - config_name: empty_patient_state features: - name: ed_stay_id dtype: int64 - name: subject_id dtype: int64 - name: hadm_id dtype: float64 - name: time_steps dtype: int64 splits: - name: empty_patient_state num_bytes: 1454310797 num_examples: 45270375 download_size: 10265748 dataset_size: 1454310797 - config_name: height features: - name: subject_id dtype: int64 - name: chartdate dtype: date32 - name: result_name dtype: large_string - name: result_value dtype: float64 splits: - name: height_full num_bytes: 22419409 num_examples: 656979 download_size: 3891379 dataset_size: 22419409 - config_name: lab_results features: - name: ed_stay_id dtype: int64 - name: category dtype: large_string - name: fluid dtype: large_string - name: order_time dtype: timestamp[us] - name: subject_id dtype: int64 - name: hadm_id dtype: int64 - name: result_time dtype: timestamp[us] - name: ordered_location dtype: large_string - name: abnormal dtype: bool - name: action dtype: large_string splits: - name: labs_full num_bytes: 269113124 num_examples: 2542661 download_size: 43257327 dataset_size: 269113124 - config_name: medrecon features: - name: ed_stay_id dtype: int64 - name: subject_id dtype: int64 - name: recon_ace_inhibitor dtype: uint8 - name: recon_analgesic___nsaid dtype: uint8 - name: recon_analgesic___opioid_nsaid dtype: uint8 - name: recon_antiarrhythmic dtype: uint8 - name: recon_antibiotic dtype: uint8 - name: recon_anticoagulant dtype: uint8 - name: recon_anticonvulsant dtype: uint8 - name: recon_antiemetic dtype: uint8 - name: recon_antiplatelet dtype: uint8 - name: recon_antipsychotic dtype: uint8 - name: recon_benzodiazepine___sedative_anxiolytic dtype: uint8 - name: recon_beta_blocker dtype: uint8 - name: recon_bronchodilator dtype: uint8 - name: recon_calcium_channel_blocker dtype: uint8 - name: recon_corticosteroid dtype: uint8 - name: recon_diuretic dtype: uint8 - name: recon_gi___acid_suppression dtype: uint8 - name: recon_insulin_glucose dtype: uint8 - name: recon_nitrate dtype: uint8 - name: recon_n_total_meds dtype: int64 - name: recon_n_drug_classes dtype: int64 splits: - name: medrecon_full num_bytes: 15100539 num_examples: 296089 download_size: 4092329 dataset_size: 15100539 - config_name: microbiology features: - name: subject_id dtype: int64 - name: ed_stay_id dtype: int64 - name: hadm_id dtype: int64 - name: charttime dtype: timestamp[us] - name: storetime dtype: timestamp[us] - name: action_space dtype: large_string - name: culture_result dtype: large_string splits: - name: microbiology_full num_bytes: 13591066 num_examples: 185552 download_size: 5278498 dataset_size: 13591066 - config_name: rad_results features: - name: ed_stay_id dtype: int64 - name: subject_id dtype: int64 - name: hadm_id dtype: int64 - name: exam_time dtype: timestamp[us] - name: rad_acuity_level dtype: int64 splits: - name: rad_full num_bytes: 10801289 num_examples: 269191 download_size: 6246623 dataset_size: 10801289 - config_name: triage_vitals features: - name: charttime dtype: timestamp[us] - name: ed_stay_id dtype: int64 - name: subject_id dtype: int64 - name: current_temperature dtype: float64 - name: current_heartrate dtype: float64 - name: current_resprate dtype: float64 - name: current_o2sat dtype: float64 - name: current_sbp dtype: float64 - name: current_dbp dtype: float64 - name: current_pain dtype: float64 - name: acuity dtype: float64 - name: chiefcomplaint dtype: large_string - name: source dtype: large_string - name: time_since_last_min dtype: float64 - name: pain_missing dtype: int64 - name: heartrate_missing dtype: int64 - name: o2sat_missing dtype: int64 - name: acuity_missing dtype: int64 - name: chiefcomplaint_missing dtype: int64 - name: resprate_missing dtype: int64 - name: sbp_missing dtype: int64 - name: dbp_missing dtype: int64 - name: temperature_missing dtype: int64 - name: temperature_delta dtype: float64 - name: heartrate_delta dtype: float64 - name: resprate_delta dtype: float64 - name: o2sat_delta dtype: float64 - name: sbp_delta dtype: float64 - name: dbp_delta dtype: float64 - name: pain_delta dtype: float64 - name: temperature_rate_per_min dtype: float64 - name: heartrate_rate_per_min dtype: float64 - name: resprate_rate_per_min dtype: float64 - name: o2sat_rate_per_min dtype: float64 - name: sbp_rate_per_min dtype: float64 - name: dbp_rate_per_min dtype: float64 - name: current_mean_arterial_pressure dtype: float64 - name: temperature_rolling1h dtype: float64 - name: heartrate_rolling1h dtype: float64 - name: resprate_rolling1h dtype: float64 - name: o2sat_rolling1h dtype: float64 - name: sbp_rolling1h dtype: float64 - name: dbp_rolling1h dtype: float64 splits: - name: triage_vitals_full num_bytes: 661714092 num_examples: 1811202 download_size: 88016187 dataset_size: 661714092 - config_name: weight features: - name: subject_id dtype: int64 - name: chartdate dtype: date32 - name: result_name dtype: large_string - name: result_value dtype: float64 splits: - name: weight_full num_bytes: 56211758 num_examples: 1647231 download_size: 9166863 dataset_size: 56211758 configs: - config_name: cohort_full data_files: - split: cohort_base path: cohort/cohort_base-* - config_name: dispensed_meds data_files: - split: er_and_ward path: dispensed_meds/er_and_ward-* - config_name: ecg_results data_files: - split: full_ecg path: ecg/full_ecg-* - config_name: empty_patient_state data_files: - split: empty_patient_state path: patient_state/empty_patient_state-* - config_name: height data_files: - split: height_full path: height_data/height_full-* - config_name: lab_results data_files: - split: labs_full path: labs/labs_full-* - config_name: medrecon data_files: - split: medrecon_full path: medrecon_data/medrecon_full-* - config_name: microbiology data_files: - split: microbiology_full path: microbiology_data/microbiology_full-* - config_name: rad_results data_files: - split: rad_full path: rad_data/rad_full-* - config_name: triage_vitals data_files: - split: triage_vitals_full path: triage_vitals_data/triage_vitals_full-* - config_name: weight data_files: - split: weight_full path: weight_data/weight_full-* --- # Cohort Data Processed ED patient cohort derived from MIMIC-IV. One row per ED visit (`ed_stay_id`). Built from cohort_base (BigQuery) with the following post-processing steps: - AGAINST ADVICE discharge_location records removed — patient-driven departures are out of scope. - Consecutive ED visits sharing a hadm_id collapsed into single rows; second ed_stay_id stored in `ed_stay_id_2`. - `stay_window_start`/`stay_window_end` columns added covering ED arrival to final discharge. - `ed_boarding_time_min` added: minutes in ED after admission decision (null for ED-only patients). Intended as the primary cohort table for feature engineering and RL state construction. # Dispensed Meds Dispensed medication records for all cohort patients across two phases and two populations. ED phase (`in_er`=True): Pyxis dispenses for all patients (admitted and ED-only) while physically in the ED, derived from `ed.pyxis`. Ward phase (`in_er`=False): eMAR administration records for admitted patients from ED departure up to ICU transfer, derived from `hosp.emar`. `event_txt` filtered to administration and rate-change events only. Medication names mapped to a 22-class drug vocabulary via regex. Each record includes `minutes_into_stay` (time since ED arrival) and time_step bucket (floor(minutes / time_block)). # ECG Data ECG acuity labels derived from `mimiciv_ecg.machine_measurements` for cohort patients. Each of the 18 report columns is classified independently via regex with priority order: abnormal (2) > neutral (1) > normal (0) > empty (-1). Row-level max across all 18 columns gives `ecg_acuity`: 0=normal, 1=neutral/unknown, 2=abnormal. Patients with all 18 columns empty are assigned 1 (missing ECG ≠ normal ECG). Multiple ECGs per ED stay resolved to one row: highest acuity kept, ties broken by earliest ecg_time. Window covers ED arrival through hospital ward stay (capped at ICU transfer if applicable), with ±1 hour buffer for ECG machine clock drift. # Labs Data Laboratory results from `hosp.labevents` for cohort patients during their stay window. Grouped by category x fluid (19 unique combinations) rather than individual test label to reduce action space. Each result includes the abnormal flag for worst-case aggregation. Intended as the primary lab state feature source. # Medrecon Data Medication reconciliation records from `ed.medrecon` — medications the patient was taking prior to ED arrival. One row per medication per ED visit. Represents pre-arrival medication state, not actions taken during the visit. # Microbiology Data Microbiology culture events from `hosp.microbiologyevents` for cohort patients during their stay window. Includes culture order time, specimen type, organism name, and antibiotic sensitivity results. `culture_ordered` is the real-time state signal; culture_positive is a retrospective label only (~2% of results available before ED discharge). # OMR Data Height and weight measurement records from `hosp.omr` for cohort patients — separated to take single measurements of height as an average of all available height measurements for a patient and retaining all separate weight measurements. Duplicates were dropped. Used to supplement ED and inpatient state features with recent baseline measurements. # Radiology Data Radiology report text from `mimiciv_note.radiology` for cohort patients. Covers all imaging modalities (CXR, CT, MRI, ultrasound, etc.). Primary reports only (note_type=RR). Window covers ED arrival through hospital ward stay (capped at ICU transfer if applicable). `hadm_id` is NULL for ED-only patients and populated for admitted patients. `exam_name` and `cpt_code` included from radiology_detail to identify imaging modality. # Triage_Vitals Combined triage and vital signs time series — one row per (`ed_stay_id`, `charttime`) timestep. Triage records (ed.triage) provide the baseline reading at `ed_intime`; subsequent vitals (`ed.vitalsign`) provide follow-up readings. `stay_id` remapping applied so that vitals from a patient's second consecutive ED visit are attributed to the canonical (first) stay_id. Rows recorded before `ed_intime` are dropped; records from vitals with `charttime` == `ed_intime` are dropped as duplicates of the triage records. **Preprocessing**: `pain` column normalized and coerced to numeric, physiologically implausible vital values nulled. Missing indicators created before forward-fill. Vitals forward-filled within stay, then mean-imputed for any remaining NaN. **Feature engineering**: `time_since_last_min`, per-column deltas and rates of change (units/min), 1-hour rolling averages, mean arterial pressure (dbp + (sbp - dbp) / 3). Triage rows get 0 for all delta/rate columns. Final vital columns renamed to current_{col}.