pyhealth
描述
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, ND
如何使用
- 访问 GitHub 仓库获取 SKILL.md 文件
- 将文件复制到您的项目根目录或 .cursor/rules 目录
- 重启您的 AI 助手或编辑器以应用新技能
完整技能说明
name
pyhealth
description
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Tags
关于 pyhealth
pyhealth 是一个 ml-data 类别的 AI 技能，旨在帮助开发者和用户更高效地使用 AI 工具。Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, ND
该技能在 GitHub 上获得了 2,800 个 star，表明它在社区中受到广泛认可。它兼容 claude 等平台。
核心能力
为什么使用 pyhealth
将 pyhealth 添加到您的 AI 工作流中可以显著提升在 ml-data 领域的工作效率。通过预定义的提示模板和最佳实践，这个技能可以帮助 AI 助手更好地理解您的需求并提供更准确的响应。
无论您使用 claude，都可以轻松集成此技能到您现有的开发环境中。
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