Identifying infected patients using semi-supervised and transfer learning.
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| Title: | Identifying infected patients using semi-supervised and transfer learning. |
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| Authors: | Bashiri FS; Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA., Caskey JR; Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA., Mayampurath A; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA., Dussault N; Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA., Dumanian J; Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA., Bhavani SV; Department of Medicine, Emory University, Atlanta, Georgia, USA., Carey KA; Department of Medicine, University of Chicago, Chicago, Illinois, USA., Gilbert ER; Department of Medicine, Loyola University, Chicago, Illinois, USA., Winslow CJ; Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA., Shah NS; Department of Medicine, University of Chicago, Chicago, Illinois, USA.; Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA., Edelson DP; Department of Medicine, University of Chicago, Chicago, Illinois, USA., Afshar M; Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA., Churpek MM; Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA. |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2022 Sep 12; Vol. 29 (10), pp. 1696-1704. |
| Publication Type: | Journal Article; Multicenter Study; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1527-974X |
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| DOI: | 10.1093/jamia/ocac109 |
