superLin006/Advancing-Mental-Health-Care

一款智能辅助评估工具和个性化医疗建议生成应用。采用优化的“关键词-权重”模糊匹配算法,提升数据的检索匹配精度、减小模型计算开销;再利用“语义匹配模型”进一步提升数据匹配精度,得到最终数据集,最后利用大预言模型(LLM)辅助生成与患者基本信息和病情高度相关的稳定、可靠、准确、安全的个性化医疗建议。

25
/ 100
Experimental

This tool helps mental health practitioners quickly assess patient conditions and generate personalized medical advice. It takes patient information like symptoms, age, and gender, and outputs tailored recommendations for treatment, medication, and general advice. The primary users are clinicians, therapists, and healthcare providers in mental health settings.

Use this if you need an efficient way to assist with mental health assessments and generate reliable, personalized advice for patients, especially where resources are scarce.

Not ideal if you need a diagnostic tool that replaces clinical judgment or a system that provides real-time, emergency medical care.

mental-health clinical-assessment patient-care medical-advice healthcare-efficiency
No License No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 5 / 25

How are scores calculated?

Stars

15

Forks

1

Language

Python

License

Last pushed

Nov 07, 2025

Commits (30d)

0

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