Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.
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| Title: | Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks. |
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| Authors: | Lemmon J; Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G1X8, Canada., Guo LL; Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G1X8, Canada., Steinberg E; Stanford Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA 94305, United States., Morse KE; Division of Pediatric Hospital Medicine, Department of Pediatrics, Stanford University, Palo Alto, CA 94304, United States., Fleming SL; Stanford Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA 94305, United States., Aftandilian C; Division of Hematology/Oncology, Department of Pediatrics, Stanford University, Palo Alto, CA 94304, United States., Pfohl SR; Google Research, Mountain View, CA 94043, United States., Posada JD; Universidad del Norte, Barranquilla 081007, Colombia., Shah N; Stanford Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA 94305, United States., Fries J; Stanford Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA 94305, United States., Sung L; Program in Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON M5G1X8, Canada.; Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON M5G1X8, Canada. |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 Nov 17; Vol. 30 (12), pp. 2004-2011. |
| Publication Type: | Journal Article |
| 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/ocad175 |
