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Datasets:
ClarusC64
/
ABX-CS-008_pediatric_dosing_effectiveness_decay-v0.1

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
antibiotics
clinical
pediatrics
dosing
weight-based
pk-pd
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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row_id
string
series_id
string
day
int64
host_model
string
age_years
int64
weight_kg
float64
abx_drug
string
dose_mg_per_kg_per_day
int64
expected_dose_mg_per_kg_per_day
int64
dose_deviation_mg_kg
int64
exposure_index
float64
expected_exposure_index
float64
exposure_shortfall_vs_expected
float64
efficacy_index
float64
expected_efficacy_index
float64
efficacy_shortfall_vs_expected
float64
symptom_score
int64
expected_symptom_score
int64
symptom_nonresponse_vs_expected
int64
severity_index
float64
pediatric_coherence_index
float64
later_dose_escalation_or_abx_change_or_prolonged_admission_flag
int64
assay_method
string
source_type
string
pediatric_dosing_effectiveness_decay_signal
int64
earliest_pediatric_dosing_effectiveness_decay
int64
notes
string
ABXCS008-TR-0001
S1
0
human_sim
6
20
amoxicillin
45
45
0
0.85
0.85
0
0.2
0.2
0
8
8
0
0.9
0.9
0
peds_dose_pk_response_panel
simulated
0
0
baseline
ABXCS008-TR-0002
S1
1
human_sim
6
20
amoxicillin
45
45
0
0.85
0.85
0
0.35
0.35
0
6
6
0
0.9
0.86
0
peds_dose_pk_response_panel
simulated
0
0
tracks expected
ABXCS008-TR-0003
S1
2
human_sim
6
20
amoxicillin
45
45
0
0.55
0.85
0.3
0.25
0.45
0.2
6
4
2
0.9
0.35
0
peds_dose_pk_response_panel
simulated
0
0
first decoupling
ABXCS008-TR-0004
S1
3
human_sim
6
20
amoxicillin
45
45
0
0.52
0.85
0.33
0.22
0.55
0.33
6
3
3
0.9
0.3
0
peds_dose_pk_response_panel
simulated
1
1
onset
ABXCS008-TR-0005
S1
5
human_sim
6
20
amoxicillin
45
45
0
0.5
0.85
0.35
0.2
0.7
0.5
7
2
5
0.9
0.2
1
peds_dose_pk_response_panel
simulated
1
0
later escalation
ABXCS008-TR-0006
S2
0
human_sim
10
35
cephalexin
50
50
0
0.8
0.8
0
0.25
0.25
0
7
7
0
0.8
0.9
0
peds_dose_pk_response_panel
simulated
0
0
baseline
ABXCS008-TR-0007
S2
2
human_sim
10
35
cephalexin
50
50
0
0.8
0.8
0
0.55
0.55
0
4
4
0
0.8
0.84
0
peds_dose_pk_response_panel
simulated
0
0
improves
ABXCS008-TR-0008
S2
4
human_sim
10
35
cephalexin
50
50
0
0.8
0.8
0
0.8
0.8
0
1
1
0
0.8
0.83
0
peds_dose_pk_response_panel
simulated
0
0
resolves
ABXCS008-TR-0009
S3
0
human_sim
2
12
amoxicillin
45
45
0
0.85
0.85
0
0.2
0.2
0
8
8
0
0.9
0.9
1
peds_dose_pk_response_panel
simulated
0
0
baseline only
ABXCS008-TR-0010
S4
3
human_sim
6
20
amoxicillin
30
45
-15
0.52
0.85
0.33
0.22
0.55
0.33
6
3
3
0.9
0.3
1
peds_dose_pk_response_panel
simulated
0
0
dose low ignore

ABX-CS-008 Pediatric Dosing Effectiveness Decay

Purpose

Detect early pediatric dosing decoupling when weight-based dosing no longer predicts exposure and response.

Core pattern

  • severity_index high
  • dose_mg_per_kg_per_day is near expected
  • pediatric_coherence_index drops
  • exposure_shortfall_vs_expected stays high
  • efficacy_shortfall_vs_expected stays high
  • symptom_nonresponse_vs_expected stays high
  • later_dose_escalation_or_abx_change_or_prolonged_admission_flag appears

Files

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

Schema

Each row is one timepoint in a within series pediatric antibiotic course.

Required columns

  • row_id
  • series_id
  • day
  • host_model
  • age_years
  • weight_kg
  • abx_drug
  • dose_mg_per_kg_per_day
  • expected_dose_mg_per_kg_per_day
  • dose_deviation_mg_kg
  • exposure_index
  • expected_exposure_index
  • exposure_shortfall_vs_expected
  • efficacy_index
  • expected_efficacy_index
  • efficacy_shortfall_vs_expected
  • symptom_score
  • expected_symptom_score
  • symptom_nonresponse_vs_expected
  • severity_index
  • pediatric_coherence_index
  • later_dose_escalation_or_abx_change_or_prolonged_admission_flag
  • assay_method
  • source_type
  • pediatric_dosing_effectiveness_decay_signal
  • earliest_pediatric_dosing_effectiveness_decay

Labels

  • pediatric_dosing_effectiveness_decay_signal

    • 1 for rows at or after first confirmed decay onset

  • earliest_pediatric_dosing_effectiveness_decay

    • 1 only for the first onset row in that series

Scorer logic in v1

  • require severity_index at least 0.80
  • require actual dose at least 90 percent of expected dose
  • candidate onset point
    • pediatric_coherence_index at most 0.40
    • exposure_shortfall_vs_expected at least 0.25
    • efficacy_shortfall_vs_expected at least 0.20
    • symptom_nonresponse_vs_expected at least 2.0
    • for two consecutive points
    • ignore one point exposure shortfall spike then recovery
  • confirmation
    • later_dose_escalation_or_abx_change_or_prolonged_admission_flag equals 1 later in series

Evaluation

Run

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