Datasets:

ClarusC64
/

clinical-hemorrhage-compensation-collapse-v0.1

scenario_id string	map_t0 int64	map_t1 int64	map_t2 int64	heart_rate_t0 int64	heart_rate_t1 int64	heart_rate_t2 int64	shock_index_t0 float64	shock_index_t1 float64	shock_index_t2 float64	hemoglobin_t0 float64	hemoglobin_t1 float64	hemoglobin_t2 float64	pulse_pressure_t0 int64	pulse_pressure_t1 int64	pulse_pressure_t2 int64	skin_perfusion_proxy float64	fluid_response float64	bleeding_control_delay int64	measurement_noise float64	chart_noise float64	label int64
HC001	82	81	80	88	90	92	0.72	0.75	0.78	13.4	13.1	12.9	44	43	42	0.74	0.76	1	0.31	0.4	0
HC002	84	82	78	90	102	116	0.74	0.93	1.18	13.2	12.1	10.9	43	37	30	0.39	0.36	4	0.33	0.42	1
HC003	86	85	84	82	84	86	0.66	0.69	0.72	13.8	13.6	13.4	46	45	44	0.8	0.82	1	0.28	0.36	0
HC004	85	82	77	84	98	114	0.68	0.88	1.16	13.6	12.4	11	45	38	31	0.37	0.34	4	0.35	0.43	1
HC005	81	81	80	91	92	94	0.76	0.78	0.8	13	12.8	12.6	42	41	40	0.72	0.74	1	0.3	0.38	0
HC006	83	80	75	92	106	120	0.77	1.01	1.31	12.9	11.7	10.3	41	35	28	0.34	0.33	4	0.37	0.44	1
HC007	87	86	85	80	82	84	0.63	0.66	0.69	14	13.8	13.6	47	46	45	0.82	0.84	1	0.27	0.35	0
HC008	84	81	76	88	101	117	0.72	0.94	1.24	13.3	12	10.6	43	36	29	0.36	0.35	3	0.34	0.41	1
HC009	82	81	81	89	91	92	0.73	0.75	0.76	13.3	13	12.8	44	43	42	0.75	0.77	1	0.29	0.37	0
HC010	85	82	76	84	99	116	0.68	0.9	1.22	13.7	12.3	10.8	45	37	29	0.38	0.34	4	0.36	0.42	1
HC011	86	85	84	82	84	85	0.66	0.68	0.7	13.8	13.6	13.5	46	45	44	0.79	0.81	1	0.28	0.36	0
HC012	83	80	75	92	107	122	0.77	1.03	1.34	12.9	11.6	10.1	41	34	27	0.33	0.32	4	0.37	0.44	1
HC013	81	81	80	90	92	93	0.75	0.77	0.79	13.1	12.9	12.7	42	41	40	0.73	0.75	1	0.3	0.38	0
HC014	84	81	76	89	102	118	0.72	0.96	1.26	13.3	11.9	10.5	43	36	28	0.35	0.34	3	0.34	0.41	1
HC015	87	86	85	80	82	84	0.63	0.66	0.69	14	13.8	13.6	47	46	45	0.82	0.83	1	0.27	0.35	0
HC016	82	81	80	88	90	92	0.72	0.75	0.78	13.4	13.1	12.9	44	43	42	0.74	0.76	1	0.31	0.4	0
HC017	82	81	80	88	100	114	0.72	0.91	1.15	13.4	12.2	10.9	44	38	30	0.41	0.37	3	0.31	0.4	1
HC018	86	85	84	82	84	86	0.66	0.69	0.72	13.8	13.6	13.4	46	45	44	0.8	0.82	1	0.28	0.36	0
HC019	86	85	84	82	96	111	0.66	0.84	1.08	13.8	12.5	11.1	46	39	31	0.43	0.38	4	0.28	0.36	1
HC020	81	81	80	91	92	94	0.76	0.78	0.8	13	12.8	12.6	42	41	40	0.72	0.74	1	0.3	0.38	0
HC021	83	80	75	92	106	120	0.77	1.01	1.31	12.9	11.7	10.3	41	35	28	0.34	0.33	4	0.37	0.44	1
HC022	87	86	85	80	82	84	0.63	0.66	0.69	14	13.8	13.6	47	46	45	0.82	0.84	1	0.27	0.35	0
HC023	84	81	76	88	101	117	0.72	0.94	1.24	13.3	12	10.6	43	36	29	0.36	0.35	3	0.34	0.41	1
HC024	82	81	81	89	91	92	0.73	0.75	0.76	13.3	13	12.8	44	43	42	0.75	0.77	1	0.29	0.37	0
HC025	85	82	76	84	99	116	0.68	0.9	1.22	13.7	12.3	10.8	45	37	29	0.38	0.34	4	0.36	0.42	1
HC026	86	85	84	82	84	85	0.66	0.68	0.7	13.8	13.6	13.5	46	45	44	0.79	0.81	1	0.28	0.36	0
HC027	83	80	75	92	107	122	0.77	1.03	1.34	12.9	11.6	10.1	41	34	27	0.33	0.32	4	0.37	0.44	1
HC028	81	81	80	90	92	93	0.75	0.77	0.79	13.1	12.9	12.7	42	41	40	0.73	0.75	1	0.3	0.38	0
HC029	84	81	76	89	102	118	0.72	0.96	1.26	13.3	11.9	10.5	43	36	28	0.35	0.34	3	0.34	0.41	1
HC030	87	86	85	80	82	84	0.63	0.66	0.69	14	13.8	13.6	47	46	45	0.82	0.83	1	0.27	0.35	0

clinical-hemorrhage-compensation-collapse-v0.1

What this dataset does

This dataset evaluates whether models can detect hemorrhage-driven collapse before overt shock is visible.

Each row represents a short clinical trajectory where blood pressure may remain temporarily preserved while compensatory strain increases.

The task is to classify whether the trajectory remains compensated or is moving toward hemorrhage-related collapse.

Core stability idea

Hemorrhage can remain hidden while compensatory mechanisms maintain blood pressure.

A patient may appear stable from MAP alone while heart rate rises, shock index worsens, hemoglobin drifts downward, pulse pressure narrows, skin perfusion weakens, and definitive bleeding control is delayed.

The dataset tests interaction reasoning across:

MAP trajectory
heart-rate trajectory
shock-index trajectory
hemoglobin trajectory
pulse-pressure trajectory
skin perfusion proxy
fluid response
bleeding control delay

Prediction target

label = 1 → hemorrhage compensation collapse risk
label = 0 → compensated or stable hemorrhage trajectory

Row structure

Each row includes:

MAP trajectory
heart-rate trajectory
shock-index trajectory
hemoglobin trajectory
pulse-pressure trajectory
skin perfusion proxy
fluid response
bleeding control delay

Decoy variables:

measurement_noise
chart_noise

These variables appear meaningful but do not determine the label alone.

Evaluation

Predictions must use: scenario_id,prediction HC101,0 HC102,1

Run:

python scorer.py --predictions predictions.csv --truth data/test.csv --output metrics.json

Metrics returned:

accuracy
precision
recall
f1
confusion matrix
dataset integrity diagnostics

Structural Note

This dataset reflects latent stability geometry through observable proxies.

The generator and latent rule structure are not included.

This dataset is part of the Clarus Stability Reasoning Benchmark.

Production Deployment

This dataset is intended as a compact benchmark for reasoning over masked hemorrhage instability.

It is not a clinical decision tool.

Enterprise & Research Collaboration

This dataset supports research into:

compensated hemorrhage detection
hidden instability
delayed collapse
trajectory-based clinical reasoning
cross-domain stability benchmarks

License

MIT

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Number of rows:

Total file size:

18.5 kB