Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records.

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Title: Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records.
Authors: Pan Y; Department of Mathematics and Statistics, University of North Carolina at Charlotte., Laber EB; Department of Statistics, North Carolina State University., Smith MA; Departments of Population Health Sciences and Family Medicine, University of Wisconsin-Madison., Zhao YQ; Public Health Sciences Division, Fred Hutchinson Cancer Research Center.
Source: Journal of the American Statistical Association [J Am Stat Assoc] 2023; Vol. 118 (542), pp. 1090-1101. Date of Electronic Publication: 2021 Nov 30.
Publication Type: Journal Article
Journal Info: Publisher: American Statistical Association Country of Publication: United States NLM ID: 01510020R Publication Model: Print-Electronic Cited Medium: Print ISSN: 0162-1459 (Print) Linking ISSN: 01621459 NLM ISO Abbreviation: J Am Stat Assoc Subsets: PubMed not MEDLINE
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  Data: Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records.
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  Data: <searchLink fieldCode="AU" term="%22Pan+Y%22">Pan Y</searchLink>; Department of Mathematics and Statistics, University of North Carolina at Charlotte.<br /><searchLink fieldCode="AU" term="%22Laber+EB%22">Laber EB</searchLink>; Department of Statistics, North Carolina State University.<br /><searchLink fieldCode="AU" term="%22Smith+MA%22">Smith MA</searchLink>; Departments of Population Health Sciences and Family Medicine, University of Wisconsin-Madison.<br /><searchLink fieldCode="AU" term="%22Zhao+YQ%22">Zhao YQ</searchLink>; Public Health Sciences Division, Fred Hutchinson Cancer Research Center.
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  Data: <searchLink fieldCode="JN" term="%2201510020R%22">Journal of the American Statistical Association</searchLink> [J Am Stat Assoc] 2023; Vol. 118 (542), pp. 1090-1101. <i>Date of Electronic Publication: </i>2021 Nov 30.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Statistical+Association%22">American Statistical Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>01510020R <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>0162-1459 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201621459%22">01621459 </searchLink><i>NLM ISO Abbreviation: </i>J Am Stat Assoc <i>Subsets: </i>PubMed not MEDLINE
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RecordInfo BibRecord:
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        Value: 10.1080/01621459.2021.1978467
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      – Code: eng
        Text: English
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        StartPage: 1090
    Titles:
      – TitleFull: Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records.
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            NameFull: Pan Y
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            NameFull: Laber EB
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            NameFull: Smith MA
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            NameFull: Zhao YQ
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            – D: 01
              M: 01
              Text: 2023
              Type: published
              Y: 2023
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              Value: 118
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              Value: 542
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