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ArticleEndocrine, metabolic & immune disorders drug targets2024

A Multi-dimensional Data Mining-based Study on the Prescriptions Developed by Professor Xu Zhiyin in Treating Thyroid Nodules.

Hai-Jian Sun, Xiao-Man Wei, Ming Lu, Hong Zhu, Yao Zhu

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Article in Endocrine, metabolic & immune disorders drug targets, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Hai-Jian SunDepartment of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
Xiao-Man WeiNanjing University of Chinese Medicine, Nanjing 210023, China.
Ming LuNanjing University of Chinese Medicine, Nanjing 210023, China.
Hong ZhuDepartment of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
Yao ZhuNanjing University of Chinese Medicine, Nanjing 210023, China.

Funding

2020 Medical scientific research project of Jiangsu Provincial Health Commission Z2020024Intangible Cultural Heritage Project of Pukou District, Nanjing PKIX-4Jiangsu Province "333 High-Level Talent Training Project" (2018) III-0121Jiangsu Technology Enterprise Technology Innovation Fund BC2015022National old TCM Expert Academic Experience Inheritance Work, Six Major Talent Summit Project RGFW-40
6 · The paper itself

Abstract

objectivesIn 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.

methodsProfessor 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.

resultsThe 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,

conclusionThe 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.

Indexed as

Data MiningDrugs, Chinese HerbalThyroid NoduleAdultAgedDrug PrescriptionsFemaleHistory, 21st CenturyHumansMaleMedicine, Chinese TraditionalMiddle AgedDrugs, Chinese HerbalAcademic inheritance and innovationCurcuma longadata miningmedical case review and researchradix codonopsis.thyroid nodules

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