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

Pilot studies (non-ehealth) (65) Mobile Health (mhealth) (2945) Artificial Intelligence (1377) Decision Support for Health Professionals (1191) Wearable Devices and Sensors (890) Clinical Information and Decision Making (1411) Machine Learning (1471) Chronic Conditions (272) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1402)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52344, first published .
Machine Learning–Based Prediction of Changes in the Clinical Condition of Patients With Complex Chronic Diseases: 2-Phase Pilot Prospective Single-Center Observational Study

Machine Learning–Based Prediction of Changes in the Clinical Condition of Patients With Complex Chronic Diseases: 2-Phase Pilot Prospective Single-Center Observational Study

Machine Learning–Based Prediction of Changes in the Clinical Condition of Patients With Complex Chronic Diseases: 2-Phase Pilot Prospective Single-Center Observational Study

Authors of this article:

Celia Alvarez-Romero1 Author Orcid Image ;   Alejandro Polo-Molina2 Author Orcid Image ;   Eugenio Francisco Sánchez-Úbeda2 Author Orcid Image ;   Carlos Jimenez-De-Juan3 Author Orcid Image ;   Maria Pastora Cuadri-Benitez3 Author Orcid Image ;   Jose Antonio Rivas-Gonzalez1 Author Orcid Image ;   Jose Portela2 Author Orcid Image ;   Rafael Palacios2 Author Orcid Image ;   Carlos Rodriguez-Morcillo2 Author Orcid Image ;   Antonio Muñoz2 Author Orcid Image ;   Carlos Luis Parra-Calderon1 Author Orcid Image ;   Maria Dolores Nieto-Martin3 Author Orcid Image ;   Manuel Ollero-Baturone3 Author Orcid Image ;   Carlos Hernández-Quiles3 Author Orcid Image
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