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Theme Issue: Precision Public Health (9) Clinical Information and Decision Making (3806) Decision Support for Health Professionals (2285) Machine Learning (3267) Artificial Intelligence (4886) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (168)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52782, first published .
Two dental assistants review patient records on a computer screen in a modern clinic.

Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

Authors of this article:

Guillem Hernández Guillamet1, 2 Author Orcid Image ;   Ariadna Ning Morancho Pallaruelo2 Author Orcid Image ;   Laura Miró Mezquita1, 2 Author Orcid Image ;   Ramón Miralles3, 4 Author Orcid Image ;   Miquel Àngel Mas3, 4 Author Orcid Image ;   María José Ulldemolins Papaseit5, 6 Author Orcid Image ;   Oriol Estrada Cuxart1, 2 Author Orcid Image ;   Francesc López Seguí2, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Postill G, Harish V, Itanyi I, Tang F, Buajitti E, Kuenzig M, Rosella L, Benchimol E. Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease. Communications Medicine 2025;5(1) View
  2. Kitchen C, Zhang T, Lemke K, Pandya C, Kharrazi H, Weiner J. Improving Models to Predict Care Utilization Using Machine Learning: Retrospective Observational Study. JMIR Formative Research 2026;10:e92820 View
  3. Kwon O, Kang H, Yim I, Kim A, Youk H. Enhancing the Simplified Acute Physiology Score 3 (SAPS3) With the Body Mass Index and Serum Bicarbonate: A Machine Learning Approach for Improved Intensive Care Unit Mortality Prediction. Journal of Korean Medical Science 2026;41 View

Conference Proceedings

  1. Tasnim S, Meem N, Hossain I, Maliha M, Dina S. 2025 28th International Conference on Computer and Information Technology (ICCIT). Fuzzy Decision Tree Framework for Hospital Mortality Prediction: Integrating ADASYN Balancing and Explainable AI View