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Machine learning for early detection of sepsis: an internal and temporal validation study.

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Title: Machine learning for early detection of sepsis: an internal and temporal validation study.
Authors: Bedoya AD; Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Duke University, Durham, North Carolina, USA., Futoma J; Department of Statistics, Duke University, Durham, North Carolina, USA.; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA., Clement ME; Department of Medicine, Division of Infectious Diseases, Duke University, Durham, North Carolina, USA., Corey K; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA., Brajer N; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA., Lin A; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA., Simons MG; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA., Gao M; Duke Institute for Health Innovation, Durham, North Carolina, USA., Nichols M; Duke Institute for Health Innovation, Durham, North Carolina, USA., Balu S; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA., Heller K; Department of Statistics, Duke University, Durham, North Carolina, USA., Sendak M; Duke Institute for Health Innovation, Durham, North Carolina, USA., O'Brien C; Department of Medicine, Durham, North Carolina, USA.
Source: JAMIA open [JAMIA Open] 2020 Apr 11; Vol. 3 (2), pp. 252-260. Date of Electronic Publication: 2020 Apr 11 (Print Publication: 2020).
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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  Data: <searchLink fieldCode="AU" term="%22Bedoya+AD%22">Bedoya AD</searchLink>; Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Duke University, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Futoma+J%22">Futoma J</searchLink>; Department of Statistics, Duke University, Durham, North Carolina, USA.; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Clement+ME%22">Clement ME</searchLink>; Department of Medicine, Division of Infectious Diseases, Duke University, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Corey+K%22">Corey K</searchLink>; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Brajer+N%22">Brajer N</searchLink>; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Lin+A%22">Lin A</searchLink>; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Simons+MG%22">Simons MG</searchLink>; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Gao+M%22">Gao M</searchLink>; Duke Institute for Health Innovation, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Nichols+M%22">Nichols M</searchLink>; Duke Institute for Health Innovation, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Balu+S%22">Balu S</searchLink>; Duke Institute for Health Innovation, Durham, North Carolina, USA.; Duke University School of Medicine, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Heller+K%22">Heller K</searchLink>; Department of Statistics, Duke University, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Sendak+M%22">Sendak M</searchLink>; Duke Institute for Health Innovation, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22O'Brien+C%22">O'Brien C</searchLink>; Department of Medicine, Durham, North Carolina, USA.
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  Data: <searchLink fieldCode="JN" term="%22101730643%22">JAMIA open</searchLink> [JAMIA Open] 2020 Apr 11; Vol. 3 (2), pp. 252-260. <i>Date of Electronic Publication: </i>2020 Apr 11 (<i>Print Publication: </i>2020).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press+on+behalf+of+the+American+Medical+Informatics+Association%22">Oxford University Press on behalf of the American Medical Informatics Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101730643 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2574-2531 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225742531%22">25742531 </searchLink><i>NLM ISO Abbreviation: </i>JAMIA Open <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2020 Apr 11
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