This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (246)

Published on in Vol 4, No 3 (2016): Jul-Sept

Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

Authors of this article:

Shivapratap Gopakumar1 Author Orcid Image ;   Truyen Tran1 Author Orcid Image ;   Wei Luo1 Author Orcid Image ;   Dinh Phung1 Author Orcid Image ;   Svetha Venkatesh1 Author Orcid Image
Article Authors Cited by (9) Tweetations (10) Metrics

Journals

  1. Talaei-Khoei A, Wilson J, Kazemi S. Period of Measurement in Time-Series Predictions of Disease Counts from 2007 to 2017 in Northern Nevada: Analytics Experiment. JMIR Public Health and Surveillance 2019;5(1):e11357 View
  2. Berríos R. Forecasting Patient Discharge Before Noon: A Comparison Between Holt's and Box-Jenkins' Models. Quality Management in Health Care 2019;28(4):237 View
  3. Resta M, Sonnessa M, Tànfani E, Testi A. Unsupervised neural networks for clustering emergent patient flows. Operations Research for Health Care 2018;18:41 View
  4. Smith A, Patterson B, Pulia M, Mayer J, Schwei R, Nagarajan R, Liao F, Shah M, Boutilier J. Multisite evaluation of prediction models for emergency department crowding before and during the COVID-19 pandemic. Journal of the American Medical Informatics Association 2023;30(2):292 View
  5. Cengil A, Eksioglu B, Eksioglu S, Eswaran H, Hayes C, Bogulski C. Using data analytics for telehealth utilization: A case study in Arkansas. Journal of Telemedicine and Telecare 2023:1357633X2311600 View
  6. Xiong Y, Qin J, Zhou L, Huang Z, Wu C, Liu L. The working experience of medical staff in the hospital‐wide bed‐sharing mode: A qualitative study. Nursing Open 2023;10(10):6885 View

Books/Policy Documents

  1. M. de Carvalho R, van der Sommen S, F. de Carvalho D. Cooperative Information Systems. View