首页|数据挖掘在中医名家辨治血液病中的研究应用

数据挖掘在中医名家辨治血液病中的研究应用

Research Applications of Data Mining in the Diagnosis and Treatment of Hematological Diseases by Renowned Traditional Chinese Medicine Practitioners

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血液病因其高危险性和低治愈率严重地威胁着患者的身心健康.中医治疗血液病有着明显的优势,名中医在辨治血液病方面具有丰富的经验,且临床疗效显著.但是由于中医的辨证依据大多是个人主观思考,无法广泛地指导临床,所以通过数据挖掘技术全面客观地总结临床医家的经验、辨证、方药,将更有利于挖掘出规范化的理法方药及应用规律,以科学、高效的方法实现中医药的继承和创新.
Hematological diseases seriously threaten the physical and mental health of patients due to their high-risk and low cure rates.Traditional Chinese Medicine(TCM)has obvious advantages in treating hematological diseases.Famous TCM practitioners have extensive experience in the differentiation and treatment of such diseases,and significant clinical efficacy has been observed.However,since TCM diagnosis and treatment relies mostly on individual subjective thinking,it cannot provide comprehensive guid-ance in clinical practice.Therefore,using data mining techniques to objectively summarize the clinical experiences,patterns of dif-ferentiation,and prescriptions of TCM practitioners would be advantageous in the development of standardized laws of principle-method-recipe-medicines and applications patterns.This approach would contribute to the inheritance and innovation of TCM through a scientific and efficient methodology.

Data MiningHematological DiseasesLeukemiaAplastic AnemiaImmune ThrombocytopeniaLymphomaTradi-tional Chinese Medicine Diagnosis and TreatmentLiterature Review

司天宇、马小淋、李晓靖、朱文伟、周永明

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上海中医药大学附属岳阳中西医结合医院,上海,200437

上海中医药大学附属市中医医院,上海,200071

数据挖掘 血液病 白血病 再生障碍性贫血 免疫性血小板减少性紫癜 淋巴瘤 中医诊疗 文献综述

国家自然科学基金全国名老中医药专家传承工作室建设项目上海市临床重点专科建设项目国家中医药局高水平中医药重点学科建设项目上海中医药大学高峰高原团队项目

81973798国中医药人教函[2022]75号shslczdzk05201zyyzdxk-20236530304114341

2024

10.3969/j.issn.1673-7202.2024.06.024

世界中医药
世界中医药学会联合会

世界中医药

CSTPCDCHSSCD北大核心
影响因子：1.266
ISSN：1673-7202
年,卷(期)：2024.19(6)
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