alterlab-pyhealth
CommunityTurn clinical data into deployable healthcare AI.
Education & Research#ehr#interpretability#clinical-prediction#transformer#mimic#pyhealth#healthcare-ai
AuthorAlterLab-IEU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
PyHealth provides an integrated toolkit for developing, testing, and deploying machine learning models on clinical data, addressing the need for standardized pipelines in healthcare AI research.
Core Features & Use Cases
- Comprehensive healthcare AI toolkit with datasets, models, preprocessing, and evaluation workflows.
- Supports EHR data, medical coding, physiological signals, and imaging for end-to-end clinical prediction tasks.
- Use cases include mortality prediction, readmission risk, LOS estimation, drug recommendation, and code translation across coding systems.
Quick Start
Load a MIMIC-4 dataset, apply the mortality prediction task, initialize a Transformer model, and train/evaluate end-to-end.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: alterlab-pyhealth Download link: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/archive/main.zip#alterlab-pyhealth Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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