Datasets:
metadata
license: mit
language:
- en
pretty_name: ABX-HT-007 Allergic Sensitization Pattern
tags:
- antibiotics
- toxicity
- allergy
- hypersensitivity
- immune
- eosinophils
- tryptase
- tabular
task_categories:
- tabular-classification
size_categories:
- n<1k
ABX-HT-007 Allergic Sensitization Pattern
Purpose
Detect early allergic sensitization when immune response markers stop tracking treatment duration before hypersensitivity events.
Core pattern
- host_stress_index high
- duration_exposure_index high
- immune_coherence_index drops
- eos_rise_vs_expected or tryptase_rise_vs_expected stays high
- later_hypersensitivity_flag appears
Files
- data/train.csv
- data/test.csv
- scorer.py
Schema
Each row is one timepoint in a within series treatment course.
Required columns
- row_id
- series_id
- treatment_day
- host_model
- drug
- duration_exposure_index
- total_dose_mg
- expected_total_dose_mg
- dose_deviation
- eos_percent
- expected_eos_percent
- eos_rise_vs_expected
- tryptase_ng_mL
- expected_tryptase_ng_mL
- tryptase_rise_vs_expected
- immune_coherence_index
- host_stress_index
- later_hypersensitivity_flag
- assay_method
- source_type
- allergic_sensitization_signal
- earliest_allergic_sensitization
Labels
allergic_sensitization_signal
- 1 for rows at or after first confirmed sensitization onset
earliest_allergic_sensitization
- 1 only for the first onset row in that series
Scorer logic in v1
- exclude series with high baseline eosinophils
- candidate onset point
- host_stress_index at least 0.80
- duration_exposure_index at least 0.80
- immune_coherence_index at most 0.40
- eos_rise_vs_expected at least 3.0 or tryptase_rise_vs_expected at least 5.0
- for two consecutive points
- ignore one point eosinophil spike then recovery artifacts
- confirmation
- later_hypersensitivity_flag equals 1 later in series
Evaluation
Run
- python scorer.py --path data/test.csv