Multi-modal prediction of extracorporeal support-a resource intensive therapy, utilizing a large national database.

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Bibliographic Details
Title: Multi-modal prediction of extracorporeal support-a resource intensive therapy, utilizing a large national database.
Authors: Zhu D; Department of Computer Science and Engineering, Washington University in St Louis, St Louis, MO 63130, United States., Xue B; Department of Computer Science and Engineering, Washington University in St Louis, St Louis, MO 63130, United States., Shah N; Artificial Intelligence (AI) for Health Institute (AIHealth), Washington University in St Louis, St Louis, MO 63130, United States.; Department of Pediatrics, Washington University in St Louis, St Louis, MO 63110, United States., Payne PRO; Department of Medicine, Washington University in St Louis, St Louis, MO 63110, United States.; Institute of Informatics, Data Science and Biostatistics, Washington University in St Louis, St Louis, MO 63110, United States., Lu C; Department of Computer Science and Engineering, Washington University in St Louis, St Louis, MO 63130, United States.; Artificial Intelligence (AI) for Health Institute (AIHealth), Washington University in St Louis, St Louis, MO 63130, United States., Said AS; Artificial Intelligence (AI) for Health Institute (AIHealth), Washington University in St Louis, St Louis, MO 63130, United States.; Department of Pediatrics, Washington University in St Louis, St Louis, MO 63110, United States.; Institute of Informatics, Data Science and Biostatistics, Washington University in St Louis, St Louis, MO 63110, United States.
Source: JAMIA open [JAMIA Open] 2025 Jan 06; Vol. 8 (1), pp. ooae158. Date of Electronic Publication: 2025 Jan 06 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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