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Artificial Intelligence Based Clustering Algorithm for Pulse Diagnosis.

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Bibliographic Details
Title:	Artificial Intelligence Based Clustering Algorithm for Pulse Diagnosis.
Authors:	Kim J; School of Information Convergence, Kwangwoon University, Seoul, Republic of Korea., Koh WJ; Department of Korean Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea., Moon H; Department of Meridian and Acupoints, College of Korean Medicine, Semyung University, Jecheon, Republic of Korea., Lim SH; Department of Meridian and Acupoints, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea., Kim M; Department of Meridian and Acupoints, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea., Kang H; DAEYOMEDI Co. Ltd., Ansan, Republic of Korea., Ryu H; School of Information Convergence, Kwangwoon University, Seoul, Republic of Korea.; Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Lee IS; Department of Meridian and Acupoints, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
Source:	Journal of multidisciplinary healthcare [J Multidiscip Healthc] 2025 Dec 03; Vol. 18, pp. 7869-7879. Date of Electronic Publication: 2025 Dec 03 (Print Publication: 2025).
Publication Type:	Journal Article
Journal Info:	Publisher: Dove Medical Press Country of Publication: New Zealand NLM ID: 101512691 Publication Model: eCollection Cited Medium: Print ISSN: 1178-2390 (Print) Linking ISSN: 11782390 NLM ISO Abbreviation: J Multidiscip Healthc Subsets: PubMed not MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1178-2390
DOI:	10.2147/JMDH.S551150