Department of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
Nanjing University of Chinese Medicine, Nanjing 210023, China.
Endocr Metab Immune Disord Drug Targets. 2024;24(9):1081-1089. doi: 10.2174/0118715303258346231101190843.
In this study, we employed a multi-dimensional data mining approach to examine the clinical instances where Professor Xu Zhiyin treated thyroid nodules. Our aim is to understand the patterns of symptoms, underlying causes, and treatment approaches used for thyroid nodules. By doing so, the intention is to distill the essential aspects, compile Professor Xu Zhiyin's clinical insights, and investigate his scholarly perspectives.
Professor Xu Zhiyin's clinical diagnoses and treatments spanning from 2009 to 2019 were entered into Microsoft Excel. Subsequently, the collected data was imported into the Medcase V5.2 system to facilitate data mining. Various techniques, such as frequency-based method, association rule analysis, and clustering, including a decentralized system clustering approach, were employed on a set of 346 cases involving patients with thyroid nodules that conformed to the specified criteria. The primary focus was on extracting insights regarding symptoms and the underlying causes from the medical records. By integrating these findings with Professor Xu Zhiyin's clinical expertise, we examined and summarized the outcomes of the data mining process.
The fundamental prescriptions were successfully extracted using the techniques for mining across multiple dimensions. Utilizing the scattered grouping of these prescriptions and with reference to the cluster analysis of the frequency-linked system, the fundamental prescriptions proposed by Professor Xu Zhiyin for addressing thyroid nodules encompass the following ingredients: Glycyrrhiza uralensis Fisch, Cortex Moutan, , persica seed, .
The fundamental prescriptions were acquired using the frequency approach, association rule technique, k-means clustering approach, and systematic clustering approach. The research findings corroborate one another, demonstrating that Professor Xu Zhiyin's approach to distinguishing and treating thyroid nodules is embodied in distinct prescriptions tailored to specific diseases.
本研究采用多维数据挖掘方法,对徐振英教授治疗甲状腺结节的临床实例进行分析,旨在探讨甲状腺结节的症状、病因和治疗方法的规律,提炼出徐振英教授治疗甲状腺结节的学术思想精髓,探索其学术思想。
将徐振英教授 2009 年至 2019 年的临床诊治资料录入 Microsoft Excel,导入 Medcase V5.2 系统进行数据挖掘,采用频数统计、关联规则分析、聚类分析等方法,对符合纳入标准的 346 例甲状腺结节患者的临床资料进行分析,重点从医案中提取症状、病因信息,结合徐振英教授的临床经验,对数据挖掘结果进行分析和总结。
运用多维数据挖掘技术成功提取出基本处方,根据处方的离散聚类情况,并参考频数关联系统聚类分析,得出徐振英教授治疗甲状腺结节的基本处方为甘草、牡丹皮、桃仁、夏枯草。
运用频数分析、关联规则技术、k-means 聚类分析、系统聚类分析等方法获取基本处方,研究结果相互印证,说明徐振英教授治疗甲状腺结节的辨治规律体现在针对具体疾病的具体处方中。