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Exploring the limits of localization: federated model stacking improves hospital-level prediction in a national research network.

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Title: Exploring the limits of localization: federated model stacking improves hospital-level prediction in a national research network.
Authors: Cao J; Jacobs Center for Health Innovation, UC San Diego Health, San Diego, CA, USA., Balczewski E; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA., Ladhania R; Department of Health Management and Policy, University of Michigan, Ann Arbor, MI, USA., Dhillon P; School of Information, University of Michigan, Ann Arbor, MI, USA., Likosky DS; Department of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, MI, USA., Janda AM; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA., Kheterpal S; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA., Mathis MR; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA.; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA., Singh K; Jacobs Center for Health Innovation, UC San Diego Health, San Diego, CA, USA. karandeep@ucsd.edu.; Division of Biomedical Informatics, Department of Medicine, University of California, San Diego, CA, USA. karandeep@ucsd.edu.
Corporate Authors: MPOG Collaborators
Source: NPJ digital medicine [NPJ Digit Med] 2026 Apr 24; Vol. 9 (1). Date of Electronic Publication: 2026 Apr 24.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Cao+J%22">Cao J</searchLink>; Jacobs Center for Health Innovation, UC San Diego Health, San Diego, CA, USA.<br /><searchLink fieldCode="AU" term="%22Balczewski+E%22">Balczewski E</searchLink>; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Ladhania+R%22">Ladhania R</searchLink>; Department of Health Management and Policy, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Dhillon+P%22">Dhillon P</searchLink>; School of Information, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Likosky+DS%22">Likosky DS</searchLink>; Department of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Janda+AM%22">Janda AM</searchLink>; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Kheterpal+S%22">Kheterpal S</searchLink>; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Mathis+MR%22">Mathis MR</searchLink>; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA.; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Singh+K%22">Singh K</searchLink>; Jacobs Center for Health Innovation, UC San Diego Health, San Diego, CA, USA. karandeep@ucsd.edu.; Division of Biomedical Informatics, Department of Medicine, University of California, San Diego, CA, USA. karandeep@ucsd.edu.
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