Stratification of Alzheimer's disease patients using knowledge-guided unsupervised latent factor clustering with electronic health record data.

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Bibliographic Details
Title: Stratification of Alzheimer's disease patients using knowledge-guided unsupervised latent factor clustering with electronic health record data.
Authors: Wang L; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Venkatesh S; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA., Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Li M; Department of Mathematical Sciences, Bentley University, Waltham, MA, USA., Srivastava R; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA., Lopez OL; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA., Xia Z; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA. zxia1@post.harvard.edu., Cai T; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA. tcai.hsph@gmail.com.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. tcai.hsph@gmail.com.
Source: Communications medicine [Commun Med (Lond)] 2026 Apr 20. Date of Electronic Publication: 2026 Apr 20.
Publication Type: Journal Article
Journal Info: Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond)
Database: MEDLINE Ultimate
Description
ISSN:2730-664X
DOI:10.1038/s43856-026-01511-y