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

Decision Support for Health Professionals (1533) Advanced Data Analytics in eHealth (209) Big Data (307) Machine Learning (2068) New Technologies (107) Organizational Issues (221) Clinical Information and Decision Making (1909) Clinical Informatics (1320)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53400, first published .
Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study

Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study

Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study

Authors of this article:

Hyeram Seo1 Author Orcid Image ;   Imjin Ahn2 Author Orcid Image ;   Hansle Gwon2 Author Orcid Image ;   Heejun Kang3 Author Orcid Image ;   Yunha Kim2 Author Orcid Image ;   Heejung Choi2 Author Orcid Image ;   Minkyoung Kim1 Author Orcid Image ;   Jiye Han1 Author Orcid Image ;   Gaeun Kee2 Author Orcid Image ;   Seohyun Park2 Author Orcid Image ;   Soyoung Ko2 Author Orcid Image ;   HyoJe Jung2 Author Orcid Image ;   Byeolhee Kim2 Author Orcid Image ;   Jungsik Oh4 Author Orcid Image ;   Tae Joon Jun5 Author Orcid Image ;   Young-Hak Kim6 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Amal A, Mounira T, Feten M, Ouajdi K. Short-term Forecasting of Ventilator and Oxygenation Device Demand During the COVID-19 Pandemic: A Comparison of Deep Learning and Statistical Models. Procedia Computer Science 2025;270:3628 View