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

Machine Learning (2004) Decision Support for Health Professionals (1492) Artificial Intelligence (2029) Clinical Information and Decision Making (1840)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48273, first published .
Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study

Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study

Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study

Authors of this article:

Yi Yang1 Author Orcid Image ;   Samaneh Madanian1 Author Orcid Image ;   David Parry2 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. AlSerkal Y, Ibrahim N, Alsereidi A, Ibrahim M, Kurakula S, Naqvi S, Khan Y, Oottumadathil N. Real-Time Analytics and AI for Managing No-Show Appointments in Primary Health Care in the United Arab Emirates: Before-and-After Study. JMIR Formative Research 2025;9:e64936 View
  2. Leiva-Araos A, Contreras C, Kaushal H, Prodanoff Z. Predictive Optimization of Patient No-Show Management in Primary Healthcare Using Machine Learning. Journal of Medical Systems 2025;49(1) View
  3. Zhang Y, Luo Y, Qiu L, Zhu Y, Lu X. Design of an ultrasound appointment system based on a patient-centered real-time dynamic resource allocation strategy. Frontiers in Public Health 2025;13 View
  4. Williamson A, Bon Nieves A, Tracy M, Raje N, Arganbright J. Social Determinants of Health and No-Show Clinic Appointments in Children with 22q11.2-Related Disorders. The Cleft Palate Craniofacial Journal 2025 View
  5. Završnik J, Kokol P, Žlahtič B, Blažun Vošner H. Machine Learning in Primary Health Care: The Research Landscape. Healthcare 2025;13(13):1629 View
  6. Gallego-Moll C, Carrasco-Ribelles L, Casajuana M, Maynou L, Arocena P, Violán C, Zabaleta-del-Olmo E. Predicting Healthcare Utilization Outcomes With Artificial Intelligence: A Large Scoping Review. Value in Health 2025 View