pyhealth

PyHealth is a comprehensive Python library for healthcare AI that provides specialized tools, models, and datasets for clinical machine learning. Use this skill when developing healthcare prediction models, processing clinical data, working with medical coding systems, or deploying AI solutions in healthcare settings. Invoke this skill when: PyHealth operates through a modular 5-stage pipeline optimized for healthcare AI: Performance : 3x faster than pandas for healthcare data processing This skill includes comprehensive reference documentation organized by functionality. Read specific reference files as needed: File : references/datasets.md Read when: Key Topics: File : references/medical_coding.md Read when: Key Topics: File : references/tasks.md Read when: Key Topics: File : references/models.md Read when: Key Topics: File : references/preprocessing.md Read when: Key Topics: File : references/training_evaluation.md Read when: Key Topics: Requirements: Objective : Predict patient mortality in intensive care unit Approach: Objective : Recommend medications while avoiding drug-drug interactions Approach: Objective : Identify patients at risk of 30-day readmission Approach: Objective : Classify sleep stages from EEG signals Approach: Objective : Standardize diagnoses across different coding systems Approach: Objective : Automatically assign ICD codes from clinical notes...