Multimodal Machine Learning Integrating Clinical and Proteomic Data for Early Prediction of Hypertensive Complications: A UKB Longitudinal Study.

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Bibliographic Details
Title: Multimodal Machine Learning Integrating Clinical and Proteomic Data for Early Prediction of Hypertensive Complications: A UKB Longitudinal Study.
Authors: Fei Y; Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China., Liu S; School of Public Health Zunyi Medical University Zunyi Guizhou China., Tong T; Hainan International Medical Center Shanghai Jiao Tong University School of Medicine Hainan China., Zhang X; Nossal Institute for Global Health, School of Population and Global Health The University of Melbourne Melbourne Victoria Australia., Wang H; Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China., Liu J; School of Public Health Zunyi Medical University Zunyi Guizhou China.; Key Laboratory of Maternal and Child Health and Exposure Science Guizhou Provincial Department of Education Zunyi Guizhou China., Zheng X; Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.; Hainan International Medical Center Shanghai Jiao Tong University School of Medicine Hainan China.
Source: Journal of the American Heart Association [J Am Heart Assoc] 2026 Jun 16; Vol. 15 (12), pp. e048151. Date of Electronic Publication: 2026 Jun 15.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101580524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-9980 (Electronic) Linking ISSN: 20479980 NLM ISO Abbreviation: J Am Heart Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2047-9980
DOI:10.1161/JAHA.125.048151