Identifying unreliable predictions in clinical risk models.

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Bibliographic Details
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
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