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Multidimensional machine learning models predicting outcomes after trauma.

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Title: Multidimensional machine learning models predicting outcomes after trauma.
Authors: Moris D; Medical Center, Duke University Durham, NC. Electronic address: dimitrios.moris@duke.edu., Henao R; School of Medicine, Duke University Durham, NC., Hensman H; DecisionQ, Arlington, VA; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD., Stempora L; Medical Center, Duke University Durham, NC; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD., Chasse S; Medical Center, Duke University Durham, NC; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD., Schobel S; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD., Dente CJ; Department of Surgery, Emory University, Atlanta, GA., Kirk AD; Medical Center, Duke University Durham, NC; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD., Elster E; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD; Walter Reed National Military Medical Center, Bethesda, MD.
Source: Surgery [Surgery] 2022 Dec; Vol. 172 (6), pp. 1851-1859. Date of Electronic Publication: 2022 Sep 16.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Mosby Country of Publication: United States NLM ID: 0417347 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-7361 (Electronic) Linking ISSN: 00396060 NLM ISO Abbreviation: Surgery Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Multidimensional machine learning models predicting outcomes after trauma.
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  Data: <searchLink fieldCode="AU" term="%22Moris+D%22">Moris D</searchLink>; Medical Center, Duke University Durham, NC. Electronic address: dimitrios.moris@duke.edu.<br /><searchLink fieldCode="AU" term="%22Henao+R%22">Henao R</searchLink>; School of Medicine, Duke University Durham, NC.<br /><searchLink fieldCode="AU" term="%22Hensman+H%22">Hensman H</searchLink>; DecisionQ, Arlington, VA; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD.<br /><searchLink fieldCode="AU" term="%22Stempora+L%22">Stempora L</searchLink>; Medical Center, Duke University Durham, NC; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD.<br /><searchLink fieldCode="AU" term="%22Chasse+S%22">Chasse S</searchLink>; Medical Center, Duke University Durham, NC; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD.<br /><searchLink fieldCode="AU" term="%22Schobel+S%22">Schobel S</searchLink>; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD.<br /><searchLink fieldCode="AU" term="%22Dente+CJ%22">Dente CJ</searchLink>; Department of Surgery, Emory University, Atlanta, GA.<br /><searchLink fieldCode="AU" term="%22Kirk+AD%22">Kirk AD</searchLink>; Medical Center, Duke University Durham, NC; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD.<br /><searchLink fieldCode="AU" term="%22Elster+E%22">Elster E</searchLink>; Surgical Critical Care Initiative, Department of Surgery, Uniformed Services University of the Health Sciences; Bethesda, MD; Walter Reed National Military Medical Center, Bethesda, MD.
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  Data: <searchLink fieldCode="JN" term="%220417347%22">Surgery</searchLink> [Surgery] 2022 Dec; Vol. 172 (6), pp. 1851-1859. <i>Date of Electronic Publication: </i>2022 Sep 16.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Mosby%22">Mosby </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0417347 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-7361 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200396060%22">00396060 </searchLink><i>NLM ISO Abbreviation: </i>Surgery <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.surg.2022.08.007
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      – Code: eng
        Text: English
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              M: 12
              Text: 2022 Dec
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