scientific-healthcare-ai
CommunityGuided healthcare AI pipelines for clinical ML.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Clinical data analysis for healthcare using PyHealth to streamline creation of ML pipelines across EHR processing and flow cytometry data, enabling rapid model development and deployment guidance.
Core Features & Use Cases
- PyHealth-driven clinical ML pipelines for EHR preprocessing, feature engineering, and model training.
- Flow cytometry data analysis (FlowIO) integration for phenotype discovery and gating workflows.
- End-to-end guidance for clinical predictive modeling, including data mapping, evaluation, and deployment considerations.
Quick Start
Configure a PyHealth-based clinical ML pipeline with EHR and flow cytometry data to train and evaluate a predictive clinical model.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: scientific-healthcare-ai Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-healthcare-ai Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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