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Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.

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Title: Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.
Authors: Choi D; Department of Computer Science and Engineering, Incheon National University, Incheon, South Korea., Sumner SA; Office of Strategy and Innovation, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia., Holland KM; Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia., Draper J; National Suicide Prevention Lifeline, New York, New York., Murphy S; National Suicide Prevention Lifeline, New York, New York., Bowen DA; Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia., Zwald M; Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia., Wang J; Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia., Law R; National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia., Taylor J; School of Interactive Computing, Georgia Institute of Technology, Atlanta., Konjeti C; School of Interactive Computing, Georgia Institute of Technology, Atlanta., De Choudhury M; School of Interactive Computing, Georgia Institute of Technology, Atlanta.
Source: JAMA network open [JAMA Netw Open] 2020 Dec 01; Vol. 3 (12), pp. e2030932. Date of Electronic Publication: 2020 Dec 01.
Publication Type: Journal Article; Research Support, U.S. Gov't, P.H.S.
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities.
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  Data: <searchLink fieldCode="AU" term="%22Choi+D%22">Choi D</searchLink>; Department of Computer Science and Engineering, Incheon National University, Incheon, South Korea.<br /><searchLink fieldCode="AU" term="%22Sumner+SA%22">Sumner SA</searchLink>; Office of Strategy and Innovation, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.<br /><searchLink fieldCode="AU" term="%22Holland+KM%22">Holland KM</searchLink>; Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.<br /><searchLink fieldCode="AU" term="%22Draper+J%22">Draper J</searchLink>; National Suicide Prevention Lifeline, New York, New York.<br /><searchLink fieldCode="AU" term="%22Murphy+S%22">Murphy S</searchLink>; National Suicide Prevention Lifeline, New York, New York.<br /><searchLink fieldCode="AU" term="%22Bowen+DA%22">Bowen DA</searchLink>; Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.<br /><searchLink fieldCode="AU" term="%22Zwald+M%22">Zwald M</searchLink>; Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Division of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.<br /><searchLink fieldCode="AU" term="%22Law+R%22">Law R</searchLink>; National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia.<br /><searchLink fieldCode="AU" term="%22Taylor+J%22">Taylor J</searchLink>; School of Interactive Computing, Georgia Institute of Technology, Atlanta.<br /><searchLink fieldCode="AU" term="%22Konjeti+C%22">Konjeti C</searchLink>; School of Interactive Computing, Georgia Institute of Technology, Atlanta.<br /><searchLink fieldCode="AU" term="%22De+Choudhury+M%22">De Choudhury M</searchLink>; School of Interactive Computing, Georgia Institute of Technology, Atlanta.
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  Data: <searchLink fieldCode="JN" term="%22101729235%22">JAMA network open</searchLink> [JAMA Netw Open] 2020 Dec 01; Vol. 3 (12), pp. e2030932. <i>Date of Electronic Publication: </i>2020 Dec 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Medical+Association%22">American Medical Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101729235 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2574-3805 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225743805%22">25743805 </searchLink><i>NLM ISO Abbreviation: </i>JAMA Netw Open <i>Subsets: </i>MEDLINE
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