{"slug":"jaechang-hits-pyhealth","source_name":"jaechang-hits/pyhealth","name":"Jaechang Hits/Pyhealth","description":"Python library for healthcare ML on EHR data: process MIMIC-III/IV, eICU, OMOP-CDM; encode medical codes (ICD, ATC, NDC); build patient-level datasets; train Transformer, RETAIN, GRASP, MedBERT for mortality, drug recommendation, readmission, diagnosis prediction. Alternatives: FIDDLE (preprocessing), clinical-longformer (clinical NLP), ehr-ml (embeddings).","version":1,"lift":{"pass_rate_delta_pts":36.36,"pass_rate_pct":100,"total_cases":22,"passed_cases":22,"tokens_delta_pct":196.1,"turns_delta_pct":0,"verdict":"pass","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-23T23:34:07.060624+00:00"},"skill_score":1,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":36.36,"with_pass_pct":100,"without_pass_pct":63.6,"tokens_delta_pct":196.1,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"pass","never_hurt":true,"completed_at":"2026-08-23T23:34:07.060624+00:00","run_id":"2d31302c-ed76-4b55-9eb0-19e13b25ae5e","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"BSD-3-Clause","install_count":0,"manifest_hash":"4d20a28e29d72d8ce3c55be626f93153d3608bd82cd0ca5240aad60b3567cec2","raw_url":"https://app.decimal.ai/s/jaechang-hits-pyhealth/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/jaechang-hits-pyhealth"}