中医面诊AI辅助诊断君臣佐使靶向数据

该数据集合系统整理了中医面诊诊断中面部及眼部区域特征与脏腑健康状态的映射关系，涵盖面部各分区（如额、鼻、颧、唇等）及眼部结构（眼睑、白睛、瞳孔等）的异常表现、对应的脏腑辨证、潜在疾病、病因分析、现代医学检查建议及中西医调理方案，并引入ICD-10编码、权重评分与可信度说明，适用于中医辅助诊断系统开发、健康风险评估、人工智能训练及中西医结合诊疗教育等领域。

This dataset systematically collates the mapping relationships between facial and ocular regional features and the health status of zang-fu organs in Traditional Chinese Medicine (TCM) facial diagnosis. It covers abnormal manifestations of various facial regions (e.g., forehead, nose, cheek, lip, etc.) and ocular structures (e.g., eyelid, sclera, pupil, etc.), along with corresponding zang-fu syndrome differentiation, potential diseases, etiological analysis, modern medical examination recommendations, and integrated Chinese and Western medicine conditioning regimens. Additionally, it incorporates ICD-10 codes, weight scores and credibility descriptions. This dataset is applicable to fields such as the development of TCM-assisted diagnosis systems, health risk assessment, artificial intelligence model training, and integrated Chinese and Western medicine diagnosis and treatment education.

搜集汇总

背景与挑战

背景概述

该数据集专注于中医面诊领域的AI辅助诊断，结合'君臣佐使'的中医组方原则，提供靶向性的数据支持。它可能包含用于训练或验证AI模型的面诊特征数据，以帮助实现精准的中医诊断分析。数据集旨在推动中医智能化发展，通过数据驱动的方法优化诊断流程。