Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data.

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Bibliographic Details
Title: Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data.
Authors: Cho I; Inha University, Incheon, Republic of Korea., Boo EH; National Health Insurance Service Ilsan Hospital, Gyeonggi-do, Republic of Korea., Chung E; Bundang Seoul National University Hospital, Gyeonggi-do, Republic of Korea., Bates DW; The Center for Patient Safety Research and Practice, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States., Dykes P; The Center for Patient Safety Research and Practice, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Source: Journal of medical Internet research [J Med Internet Res] 2019 Feb 19; Vol. 21 (2), pp. e11505. Date of Electronic Publication: 2019 Feb 19.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1438-8871
DOI:10.2196/11505