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--- |
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license: mit |
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language: |
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- en |
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pretty_name: ABX-HT-010 Drug-Drug Interaction Emergence |
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tags: |
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- antibiotics |
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- toxicity |
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- ddi |
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- drug-interaction |
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- pharmacokinetics |
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- tabular |
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task_categories: |
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- tabular-classification |
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size_categories: |
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- n<1k |
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--- |
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ABX-HT-010 Drug-Drug Interaction Emergence |
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Purpose |
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Detect early interaction emergence when antibiotic exposure stops tracking expected interaction shift with concomitant medications. |
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Core pattern |
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- host_stress_index high |
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- concomitant_exposure_index high |
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- ddi_coherence_index drops |
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- interaction_shift_deviation stays high |
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- later_adverse_ddi_flag appears |
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Files |
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- data/train.csv |
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- data/test.csv |
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- scorer.py |
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Schema |
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Each row is one timepoint in a within series PK and medication exposure course. |
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Required columns |
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- row_id |
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- series_id |
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- timepoint_h |
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- host_model |
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- abx_drug |
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- abx_dose_mg |
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- abx_conc_ng_mL |
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- expected_abx_conc_ng_mL |
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- abx_conc_deviation |
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- concomitant_drug |
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- concomitant_exposure_index |
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- expected_interaction_shift |
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- interaction_shift_deviation |
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- ddi_coherence_index |
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- host_stress_index |
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- later_adverse_ddi_flag |
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- assay_method |
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- source_type |
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- ddi_emergence_signal |
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- earliest_ddi_emergence |
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Labels |
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- ddi_emergence_signal |
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- 1 for rows at or after first confirmed emergence onset |
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- earliest_ddi_emergence |
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- 1 only for the first onset row in that series |
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Scorer logic in v1 |
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- require a concomitant medication signal in the series |
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- candidate onset point |
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- host_stress_index at least 0.80 |
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- concomitant_exposure_index at least 0.80 |
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- ddi_coherence_index at most 0.40 |
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- absolute interaction_shift_deviation at least 40 for two consecutive points |
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- ignore one point deviation spike then recovery artifacts |
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- confirmation |
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- later_adverse_ddi_flag equals 1 later in series |
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Evaluation |
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Run |
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- python scorer.py --path data/test.csv |
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