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Health IT, systems and process innovations
Original article
Temporal prediction of in-hospital falls using tensor factorisation

Authors

  • Haolin Wang Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China University of Chinese Academy of Sciences, Beijing, China PubMed articlesGoogle scholar articles
  • Qingpeng Zhang Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China Shenzhen Research Institute, City University of Hong Kong, Shenzhen, Guangdong, China PubMed articlesGoogle scholar articles
  • Hing-Yu So New Territories East Cluster (NTEC), Quality and Safety Division Prince of Wales Hospital, New Territories, Hong Kong, China PubMed articlesGoogle scholar articles
  • Angela Kwok New Territories East Cluster (NTEC), Quality and Safety Division Prince of Wales Hospital, New Territories, Hong Kong, China PubMed articlesGoogle scholar articles
  • Zoie Shui-Yee Wong Graduate School of Public Health, St. Luke’s International University, Tokyo, Japan PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Qingpeng Zhang, Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong, China ; qingpeng.zhang{at}cityu.edu.hk
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Citation

Wang H, Zhang Q, So H, et al
Temporal prediction of in-hospital falls using tensor factorisation
BMJ Innovations 2018;4:75-83.

Publication history

  • Received June 6, 2017
  • Revised November 6, 2017
  • Accepted February 21, 2018
  • First published March 9, 2018.
Online issue publication 
April 06, 2018

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© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/