Datasets:

ClarusC64
/

ABX-HT-002_renal_clearance_decoupling-v0.1

row_id string	series_id string	timepoint_h int64	host_model string	drug string	drug_conc_mg_L float64	expected_drug_conc_mg_L float64	conc_deviation float64	egfr_ml_min_1p73 float64	expected_egfr_ml_min_1p73 float64	egfr_drop_vs_expected float64	creatinine_mg_dL float64	expected_creatinine_mg_dL float64	creatinine_rise_vs_expected float64	renal_coherence_index float64	exposure_index float64	stress_index float64	later_severe_aki_flag int64	assay_method string	source_type string	renal_clearance_decoupling_signal int64	earliest_renal_clearance_decoupling int64	notes string
ABXHT002-TR-0001	S1	0	human_sim	vancomycin	12	12	0	95	95	0	0.9	0.9	0	0.9	0.1	0.1	0	pk_creat_egfr_panel	simulated	0	0	baseline
ABXHT002-TR-0002	S1	12	human_sim	vancomycin	14	14	0	92	92	0	0.95	0.95	0	0.88	0.85	0.9	0	pk_creat_egfr_panel	simulated	0	0	tracks expected
ABXHT002-TR-0003	S1	24	human_sim	vancomycin	14.5	14	0.5	80	90	10	1.2	1	0.2	0.35	0.9	0.9	0	pk_creat_egfr_panel	simulated	0	0	first decoupling
ABXHT002-TR-0004	S1	36	human_sim	vancomycin	15	14	1	78	90	12	1.3	1	0.3	0.3	0.9	0.9	0	pk_creat_egfr_panel	simulated	1	1	confirmed onset
ABXHT002-TR-0005	S1	72	human_sim	vancomycin	20	15	5	55	88	33	2.1	1.05	1.05	0.2	0.9	0.9	1	pk_creat_egfr_panel	simulated	1	0	severe later
ABXHT002-TR-0006	S2	0	human_sim	gentamicin	4	4	0	100	100	0	0.8	0.8	0	0.9	0.1	0.1	0	pk_creat_egfr_panel	simulated	0	0	baseline
ABXHT002-TR-0007	S2	24	human_sim	gentamicin	4	4	0	98	98	0	0.82	0.82	0	0.86	0.9	0.9	0	pk_creat_egfr_panel	simulated	0	0	stable
ABXHT002-TR-0008	S2	48	human_sim	gentamicin	4	4	0	97	97	0	0.83	0.83	0	0.84	0.9	0.9	0	pk_creat_egfr_panel	simulated	0	0	stable
ABXHT002-TR-0009	S3	0	human_sim	vancomycin	14	14	0	35	35	0	2.2	2.2	0	0.9	0.9	0.9	1	pk_creat_egfr_panel	simulated	0	0	baseline renal poor
ABXHT002-TR-0010	S4	0	human_sim	vancomycin	15	14	1	78	90	12	1.3	1	0.3	0.3	0.9	0.3	1	pk_creat_egfr_panel	simulated	0	0	stress low

ABX-HT-002 Renal Clearance Decoupling

Purpose

Detect early kidney function marker drift that no longer tracks drug levels.

Core pattern

stress_index high
exposure_index high
renal_coherence_index drops
egfr_drop_vs_expected or creatinine_rise_vs_expected stays high
later_severe_aki_flag appears

Files

data/train.csv
data/test.csv
scorer.py

Schema

Each row is one timepoint in a within series time course.

Required columns

row_id
series_id
timepoint_h
host_model
drug
drug_conc_mg_L
expected_drug_conc_mg_L
conc_deviation
egfr_ml_min_1p73
expected_egfr_ml_min_1p73
egfr_drop_vs_expected
creatinine_mg_dL
expected_creatinine_mg_dL
creatinine_rise_vs_expected
renal_coherence_index
exposure_index
stress_index
later_severe_aki_flag
assay_method
source_type
renal_clearance_decoupling_signal
earliest_renal_clearance_decoupling

Labels

renal_clearance_decoupling_signal
- 1 for rows at or after first confirmed decoupling onset
earliest_renal_clearance_decoupling
- 1 only for the first onset row in that series

Scorer logic in v1

exclude series with low baseline eGFR
candidate onset point
- stress_index at least 0.80
- exposure_index at least 0.80
- renal_coherence_index at most 0.40
- egfr_drop_vs_expected at least 10 or creatinine_rise_vs_expected at least 0.20
- for two consecutive points
- exclude one point extreme drop then recovery artifacts
confirmation
- later_severe_aki_flag equals 1 later in series

Evaluation

Run

python scorer.py --path data/test.csv

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24 kB

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