Datasets:
trial_id string | site_id string | patient_id string | day int64 | biomarker_level float64 | biomarker_pos int64 | subpop_flag int64 | dose_mg int64 | exposure_auc int64 | endpoint_change float64 | endpoint_drift_z float64 | signal_fail_next_30d int64 | label_signal_fail_next_30d int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
TRIAL_BSE01 | S01 | P0001 | 14 | 1.2 | 0 | 0 | 50 | 3,800 | -0.1 | 0.2 | 0 | 0 |
TRIAL_BSE01 | S01 | P0002 | 21 | 1.4 | 0 | 0 | 50 | 3,950 | -0.08 | 0.3 | 0 | 0 |
TRIAL_BSE01 | S02 | P0003 | 28 | 2.8 | 1 | 1 | 50 | 4,100 | -0.22 | 0.5 | 0 | 0 |
TRIAL_BSE01 | S02 | P0004 | 35 | 3.1 | 1 | 1 | 75 | 5,600 | -0.34 | 1.1 | 1 | 1 |
TRIAL_BSE01 | S03 | P0005 | 42 | 3.4 | 1 | 1 | 75 | 5,450 | -0.3 | 1 | 1 | 1 |
TRIAL_BSE02 | S01 | P0006 | 14 | 2.6 | 1 | 0 | 50 | 4,050 | -0.12 | 0.4 | 0 | 0 |
TRIAL_BSE02 | S01 | P0007 | 21 | 2.9 | 1 | 0 | 75 | 5,750 | -0.18 | 0.6 | 0 | 0 |
TRIAL_BSE02 | S02 | P0008 | 28 | 1.3 | 0 | 0 | 75 | 5,200 | -0.05 | 0.2 | 0 | 0 |
TRIAL_BSE02 | S02 | P0009 | 35 | 3.2 | 1 | 1 | 100 | 7,200 | -0.38 | 1.3 | 1 | 1 |
TRIAL_BSE02 | S03 | P0010 | 42 | 3.5 | 1 | 1 | 100 | 7,050 | -0.36 | 1.2 | 1 | 1 |
Clinical Quad Biomarker Subpopulation Dose Endpoint Drift v0.1
Each row is a patient state snapshot.
Core quad
Biomarker status
Subpopulation flag
Dosing strategy
Endpoint drift
Target
label_signal_fail_next_30d
Files
data/train.csv
data/tester.csv
scorer.py
Evaluation
Run model on data/tester.csv
Return predictions row aligned
Score with scorer.py
License
MIT
- Downloads last month
- 19