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Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults.

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Title: Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults.
Authors: Lilly CM; Department of Medicine, UMass Memorial Medical Center, Worcester, MA; UMass Memorial Health, UMass Memorial Medical Center, Worcester, MA; Department of Anesthesiology and Surgery, University of Massachusetts, Worcester, MA; University of Massachusetts Chan Medical School, University of Massachusetts, Worcester, MA; Clinical and Population Health Research Program, University of Massachusetts, Worcester, MA; Graduate School of Biomedical Sciences, University of Massachusetts, Worcester, MA. Electronic address: craig.lilly@umassmed.edu., Kirk D; WakeMed Health & Hospitals, Raleigh/Cary, NC., Pessach IM; The Chaim Sheba Medical Center and Tel-Aviv University, Tel Hashomer, Israel; Clew Medical, Netanya, Israel., Lotun G; UMass Memorial Health, UMass Memorial Medical Center, Worcester, MA., Chen O; Clew Medical, Netanya, Israel., Lipsky A; The Chaim Sheba Medical Center and Tel-Aviv University, Tel Hashomer, Israel; Department of Emergency Medicine, Rambam Health Care Campus, Haifa, Israel., Lieder I; Clew Medical, Netanya, Israel., Celniker G; Clew Medical, Netanya, Israel., Cucchi EW; UMass Memorial Health, UMass Memorial Medical Center, Worcester, MA., Blum JM; Department of Anesthesiology, University of Iowa, Iowa City, IA.
Source: Chest [Chest] 2024 May; Vol. 165 (5), pp. 1139-1148. Date of Electronic Publication: 2023 Nov 01.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0231335 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1931-3543 (Electronic) Linking ISSN: 00123692 NLM ISO Abbreviation: Chest Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Lilly+CM%22">Lilly CM</searchLink>; Department of Medicine, UMass Memorial Medical Center, Worcester, MA; UMass Memorial Health, UMass Memorial Medical Center, Worcester, MA; Department of Anesthesiology and Surgery, University of Massachusetts, Worcester, MA; University of Massachusetts Chan Medical School, University of Massachusetts, Worcester, MA; Clinical and Population Health Research Program, University of Massachusetts, Worcester, MA; Graduate School of Biomedical Sciences, University of Massachusetts, Worcester, MA. Electronic address: craig.lilly@umassmed.edu.<br /><searchLink fieldCode="AU" term="%22Kirk+D%22">Kirk D</searchLink>; WakeMed Health & Hospitals, Raleigh/Cary, NC.<br /><searchLink fieldCode="AU" term="%22Pessach+IM%22">Pessach IM</searchLink>; The Chaim Sheba Medical Center and Tel-Aviv University, Tel Hashomer, Israel; Clew Medical, Netanya, Israel.<br /><searchLink fieldCode="AU" term="%22Lotun+G%22">Lotun G</searchLink>; UMass Memorial Health, UMass Memorial Medical Center, Worcester, MA.<br /><searchLink fieldCode="AU" term="%22Chen+O%22">Chen O</searchLink>; Clew Medical, Netanya, Israel.<br /><searchLink fieldCode="AU" term="%22Lipsky+A%22">Lipsky A</searchLink>; The Chaim Sheba Medical Center and Tel-Aviv University, Tel Hashomer, Israel; Department of Emergency Medicine, Rambam Health Care Campus, Haifa, Israel.<br /><searchLink fieldCode="AU" term="%22Lieder+I%22">Lieder I</searchLink>; Clew Medical, Netanya, Israel.<br /><searchLink fieldCode="AU" term="%22Celniker+G%22">Celniker G</searchLink>; Clew Medical, Netanya, Israel.<br /><searchLink fieldCode="AU" term="%22Cucchi+EW%22">Cucchi EW</searchLink>; UMass Memorial Health, UMass Memorial Medical Center, Worcester, MA.<br /><searchLink fieldCode="AU" term="%22Blum+JM%22">Blum JM</searchLink>; Department of Anesthesiology, University of Iowa, Iowa City, IA.
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  Data: <searchLink fieldCode="JN" term="%220231335%22">Chest</searchLink> [Chest] 2024 May; Vol. 165 (5), pp. 1139-1148. <i>Date of Electronic Publication: </i>2023 Nov 01.
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        Value: 10.1016/j.chest.2023.10.036
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        Text: English
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      – TitleFull: Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults.
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              Text: 2024 May
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