Prediction of biological age using machine learning.

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Bibliographic Details
Title: Prediction of biological age using machine learning.
Authors: Zhang K; Yiwu Industrial and Commercial College, Yiwu, Zhejiang, China.; Graduate Institute of Network and Multimedia, National Taiwan University, Taipei, Taiwan., Chen PC; Division of Family Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan., Huang Y; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan., Tzou SJ; Teaching and Researching Center, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan.; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan., Wu ST; Division of Urology, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.; Division of Urology, Department of Surgery, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan., Chu TW; Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.; MJ Health Screening Center, Taipei, Taiwan., Wang CC; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan., Jang JR; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
Source: PloS one [PLoS One] 2025 Sep 24; Vol. 20 (9), pp. e0330184. Date of Electronic Publication: 2025 Sep 24 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0330184