Evidence map›Paper›PMID 41015814›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2025

Study on subtyping and Traditional Chinese Medicine treatment of depression based on machine learning and text mining.

Fan Mengyue, Yao Lin, Zhang Guoqing, Wang Ruixue, Chen Kexin, Fan Yujing, Wang Ziming, F U Jia, Chen Yongjun, Wang Taiyi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Fan MengyueInnovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Yao LinInnovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Zhang GuoqingGraduate School of Informatics, Kyoto University, Kyoto 6068501, Japan.
Wang RuixueInnovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Chen KexinInnovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Fan YujingInnovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Wang ZimingInnovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
F U JiaInnovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Chen YongjunInnovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Wang TaiyiInnovation Research Institute of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.

Funding

Joint Fund of Shandong Provincial Natural Science Foundation: High-Throughput Screening and Key Target Validation of Traditional Chinese Medicine Blood-Activating and Stasis-Resolving Components using a Vascular Microenvironment Simulation Chip ZR2021LZY020National Key Research and Development Plan: Regulatory Pathways and Mechanisms of Conception and Governor Vessels Surface Stimulation in the Treatment of "Uterus and Brain" Disorders 2022YFC3500405National Natural Science Foundation of China: Epigenetic Regulation of Vascular Neural Unit Function by Vascular Endothelial Histone Deacetylase: a New Antidepressant Application and Mechanism of Huangqi Guizhi Wuwu Decoction 82274128National Natural Science Foundation of China: Study on the Anti-depression Mechanism of Electroacupuncture based on the Regulation of Biological Clock Gene in Prefrontal Cortex 81973948Student Research Training Program of Shandong University of Traditional Chinese Medicine: the Therapeutic Mechanism of Huangqi Guizhi Wuwu Decoction on Chronic Unpredictable Mild Stress Model Mice Based on the Endothelial Nitric Oxide Synthase-Nitric oxide Pathway Research of Vascular Endothelial Eells 202210441008Taishan Scholar Youth Project of Shandong Province tsqn202306188
6 · The paper itself

Abstract

objectiveTo research the subtyping and treatment of depression by leveraging studying on extensive Traditional Chinese Medicine (TCM) experiences through artificial intelligence (AI).

methodsWe retrieved depression-related literature published from inception to April 2023 from databases. From these sources, we extracted symptoms, signs, and prescriptions associated with depression. By utilizing the tree number system in the medical subject headings (MeSH), we established a hierarchical relationship matrix for symptoms/signs, as well as depression sample fingerprints. Using an unsupervised clustering algorithm, we constructed a machine learning model for classifying depression patients. Furthermore, we conducted an analysis of medication rules for each depression cluster.

resultsWe created a My Structured Query Language (MySQL) database containing datasets of depression-symptoms/signs and depression-herbs, through mining 3522 published clinical literatures on TCM diagnosis and treatment for depression. We established hierarchical relationships among symptoms/signs of depression patients. Our unsupervised clustering analysis revealed that depression patients could be classified into 9 subtypes, with each subtype corresponding to a specific treatment prescription. Notably, one of the depression subtypes was consistently treated by

conclusionsThis study identified the subtypes and TCM treatment of depression by using machine learning and text mining.

Indexed as

Data MiningDepressionDrugs, Chinese HerbalMachine LearningMedicine, Chinese TraditionalHumansDrugs, Chinese Herbalartificial intelligencedepressiondisease subtypingmachine learningmedicine, Chinese traditional

Identifiers

PMID41015814
PMCPMC12454262

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.