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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

The 4-time segments were selected based on the findings of Polo-Molina et al [25], where it was demonstrated that mobility patterns can be categorized into distinct clusters. The study highlighted that the maximum value of steps within each interval aligns with the suggested division, regardless of individual variations in the mobility patterns.

Celia Alvarez-Romero, Alejandro Polo-Molina, Eugenio Francisco Sánchez-Úbeda, Carlos Jimenez-De-Juan, Maria Pastora Cuadri-Benitez, Jose Antonio Rivas-Gonzalez, Jose Portela, Rafael Palacios, Carlos Rodriguez-Morcillo, Antonio Muñoz, Carlos Luis Parra-Calderon, Maria Dolores Nieto-Martin, Manuel Ollero-Baturone, Carlos Hernández-Quiles

JMIR Form Res 2024;8:e52344