Identifying unreliable predictions in clinical risk models.
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| Title: | Identifying unreliable predictions in clinical risk models. |
|---|---|
| Authors: | Myers PD; 1Department of Electrical Engineering and Computer Science and Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MA USA., Ng K; Center for Computational Health, IBM Research, Cambridge, MA USA., Severson K; Center for Computational Health, IBM Research, Cambridge, MA USA., Kartoun U; Center for Computational Health, IBM Research, Cambridge, MA USA., Dai W; 1Department of Electrical Engineering and Computer Science and Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MA USA., Huang W; 3Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA USA., Anderson FA; 3Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA USA., Stultz CM; 1Department of Electrical Engineering and Computer Science and Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MA USA.; 4Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA USA.; 5Division of Cardiology, Massachusetts General Hospital, Boston, MA USA. |
| Source: | NPJ digital medicine [NPJ Digit Med] 2020 Jan 23; Vol. 3, pp. 8. Date of Electronic Publication: 2020 Jan 23 (Print Publication: 2020). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: eCollection Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31993506 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identifying unreliable predictions in clinical risk models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Myers+PD%22">Myers PD</searchLink>; 1Department of Electrical Engineering and Computer Science and Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MA USA.<br /><searchLink fieldCode="AU" term="%22Ng+K%22">Ng K</searchLink>; Center for Computational Health, IBM Research, Cambridge, MA USA.<br /><searchLink fieldCode="AU" term="%22Severson+K%22">Severson K</searchLink>; Center for Computational Health, IBM Research, Cambridge, MA USA.<br /><searchLink fieldCode="AU" term="%22Kartoun+U%22">Kartoun U</searchLink>; Center for Computational Health, IBM Research, Cambridge, MA USA.<br /><searchLink fieldCode="AU" term="%22Dai+W%22">Dai W</searchLink>; 1Department of Electrical Engineering and Computer Science and Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MA USA.<br /><searchLink fieldCode="AU" term="%22Huang+W%22">Huang W</searchLink>; 3Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA USA.<br /><searchLink fieldCode="AU" term="%22Anderson+FA%22">Anderson FA</searchLink>; 3Center for Outcomes Research, University of Massachusetts Medical School, Worcester, MA USA.<br /><searchLink fieldCode="AU" term="%22Stultz+CM%22">Stultz CM</searchLink>; 1Department of Electrical Engineering and Computer Science and Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MA USA.; 4Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA USA.; 5Division of Cardiology, Massachusetts General Hospital, Boston, MA USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101731738%22">NPJ digital medicine</searchLink> [NPJ Digit Med] 2020 Jan 23; Vol. 3, pp. 8. <i>Date of Electronic Publication: </i>2020 Jan 23 (<i>Print Publication: </i>2020). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101731738 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2398-6352 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223986352%22">23986352 </searchLink><i>NLM ISO Abbreviation: </i>NPJ Digit Med <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31993506 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41746-019-0209-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 8 Titles: – TitleFull: Identifying unreliable predictions in clinical risk models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Myers PD – PersonEntity: Name: NameFull: Ng K – PersonEntity: Name: NameFull: Severson K – PersonEntity: Name: NameFull: Kartoun U – PersonEntity: Name: NameFull: Dai W – PersonEntity: Name: NameFull: Huang W – PersonEntity: Name: NameFull: Anderson FA – PersonEntity: Name: NameFull: Stultz CM IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 01 Text: 2020 Jan 23 Type: published Y: 2020 Identifiers: – Type: issn-electronic Value: 2398-6352 Numbering: – Type: volume Value: 3 Titles: – TitleFull: NPJ digital medicine Type: main |
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