期刊论文

Construction of a Data Mining Platform for Medical Cases of Famous Chinese Medicine Doctors Based on Python

中文

世界科学技术-中医药现代化

1674-3849

2021

23

09

3188-3194

10.11842/wst.20201012010

国家自然科学基金委员会面上项目（81774287）：外泌体携带整合素引导结直肠癌转移的机制及健脾消癌方干预作用研究，负责人：蒋益兰； 国家中医药管理局第六批全国老中医药专家学术经验继承工作指导老师（湘中医药函[2017]100号），负责人：蒋益兰；

本校为第一机构

Python语言简洁易学、灵活开放、开源免费,在中医药数据挖掘中有着不可替代的优势。目前国内外尚未有基于Python构建名中医医案数据挖掘平台的报道,本文运用Python语言开发医案数据挖掘应用平台,以蒋益兰教授医案为例阐述Python语言在名中医医案数据收集与清洗、药物剂量整理以及数据分析方面的应用优势,以期为名中医经验传承作出贡献。

Python is a simple, easy-to-learn, flexible, open sourced and free programming language, and it offers irreplaceable advantages in TCM data mining.In this paper, we use Python to develop a data mining platform for medical cases, and take Professor Jiang Yilan's medical case as an example to illustrate the advantages of Python in collecting and cleaning data, organizing medicinal dosage and analyzing data of famous Chinese medical cases, in order to contrib...