中医临床诊疗方案模型（脑病科）数据集

本数据集包括中医脑病科若干种常见病的病种临床表现辨别依据、中医分型临床表现辨别依据、中医治则治法、中医处方、医嘱等数据组成，数据主要以“病种”为归纳对象，通过参考国家颁布的临床诊疗指南、国家中医学相关教科书，以及从若干份真实临床病例数据中提取共性临床表现，按数理统计规则进行处理，形成本数据集，可用于中医脑病科临床过程中帮助医生提取对应的一般性诊疗预案，加快医生效率，降低误诊率。

This dataset is composed of data including the basis for distinguishing clinical manifestations of several common diseases in the Department of Encephalopathy of Traditional Chinese Medicine (TCM), the basis for distinguishing clinical manifestations of TCM syndrome differentiation types, TCM therapeutic principles and methods, TCM prescriptions, medical orders, etc. The data is primarily categorized by "disease entities". This dataset is compiled by referencing national clinical diagnosis and treatment guidelines, official TCM textbooks, extracting common clinical manifestations from a number of real clinical case data, and processing the data according to mathematical and statistical rules. It can be applied in the clinical practice of the TCM encephalopathy department to help clinicians extract corresponding general diagnosis and treatment plans, improve clinical efficiency, and reduce the misdiagnosis rate.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于中医脑病科，涵盖了常见病的临床表现辨别依据、中医分型、治则治法、处方和医嘱等关键数据，以病种为单位进行系统归纳。数据基于国家指南、教科书和真实病例，通过数理统计处理形成，旨在为医生提供一般性诊疗预案参考，从而提升临床效率并减少误诊风险。