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. |
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| 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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