Author Correction: UKB-MDRMF: a multi-disease risk and multimorbidity framework based on UK biobank data

Nature Communications 2026 Open access

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Authors: Yukang Jiang, Bingxin Zhao, Xiaopu Wang, Borui Tang, Borui Tang, Huiyang Peng, Zidan Luo, Yue Shen, Zhiwen Jiang, Zhiwen Jiang, Jie Wang, Jieping Ye
+3 more Xueqin Wang, Xueqin Wang, Hongtu Zhu B
DOI: 10.1038/s41467-026-68888-1
Cited by: 0

Abstract

In the version of the article initially published, in the “Model construction process” section of the Methods, the text “we employed machine learning algorithms such as logistic regression, boosting, and deep learning to predict over 18500 Phecodes as a multi-label classification problem” should have read “we employed machine learning algorithms such as logistic regression, boosting, and deep learning to predict over 1560 Phecodes as a multi-label classification problem”. This correction has been made to the HTML and PDF versions of the article.

Fields of Study & Subjects

Genetic Associations and Epidemiology Machine Learning in Healthcare Chronic Disease Management Strategies

Publication details

Journal / source
Nature Communications
Volume
17
Issue
1
Pages
1061–1061
Publication date
28 January 2026
Language
EN