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

Decision Support for Health Professionals (1458) Clinical Information and Decision Making (1798) Clinical Informatics (1248) Frailty Detection, Assessment and Prediction (51) Information Models (42) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (31) Home Care (204)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22491, first published .
Predicting Unscheduled Emergency Department Return Visits Among Older Adults: Population-Based Retrospective Study

Predicting Unscheduled Emergency Department Return Visits Among Older Adults: Population-Based Retrospective Study

Predicting Unscheduled Emergency Department Return Visits Among Older Adults: Population-Based Retrospective Study

Authors of this article:

Rai-Fu Chen1 Author Orcid Image ;   Kuei-Chen Cheng2 Author Orcid Image ;   Yu-Yin Lin2 Author Orcid Image ;   I-Chiu Chang2 Author Orcid Image ;   Cheng-Han Tsai2, 3 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Journals

  1. Fan L, Xue H, Wang Q, Yan Y, Du W. Development and Validation of a Nomogram for Predicting Risk of Emergency Department Revisits in Chinese Older Patients. Risk Management and Healthcare Policy 2022;Volume 15:2283 View
  2. Dunnion M, Ryan A, Goode D, McIlfatrick S. Supporting older people following out of hours discharge from the Emergency Department: An integrative review of the literature. International Journal of Older People Nursing 2023;18(3) View
  3. Lee A, Park H, Yoo A, Kim S, Sunwoo L, Yoo S. Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study. JMIR Medical Informatics 2023;11:e53058 View
  4. Lee Y, Ng C, Hsu C, Cheng C, Chen S. Machine learning models for predicting unscheduled return visits to an emergency department: a scoping review. BMC Emergency Medicine 2024;24(1) View
  5. Hsu C, Chu C, Ng C, Lin C, Lo H, Chen S. Machine learning models for predicting unscheduled return visits of patients with abdominal pain at emergency department and validation during COVID-19 pandemic: A retrospective cohort study. Medicine 2024;103(8):e37220 View
  6. Lee J, Lee H, Choi J, Chung H, Sang S, Yoo J. Comparison of the Characteristics of Korean Older Adults Who Returned to the Emergency Department Within 30 Days Before and During COVID-19: A Retrospective Study. Journal of Emergency Nursing 2025;51(4):721 View
  7. Martini W, Beste R, Urumov A, Simon L, Heaton H, Ryu A. Correlating Predicted Admissions with Unscheduled Return Visits: Insights from a Machine Learning Model in Emergency Care. The Journal of Emergency Medicine 2025 View
  8. Shi M, Rostami-Tabar B, Gartner D. Looking for the crystal ball in unscheduled care: a systematic literature review of the forecasting process. Health Care Management Science 2025 View
  9. Kuo K, Wu W, Chang C. A Meta-Analysis of the Diagnostic Test Accuracy of Artificial Intelligence for Predicting Emergency Department Revisits. Journal of Medical Systems 2025;49(1) View
  10. Hung S, Huang F, Lien W, Chiu T, Wong T, Lin W, Wu S. Point-of-Care Ultrasound Within One Hour Associated with ED Flow and Resource Use in Non-Traumatic Abdominal Pain: A Retrospective Observational Study. Diagnostics 2025;15(13):1580 View