Machine learning using PROFUND components for 30-day readmission prediction in multimorbid patients: a prospective multicentre study

Abstract Early hospital readmission in multimorbid patients remains a major clinical challenge. Although risk stratification tools are widely used, predictive performance is often limited. The PROFUND index captures frailty, functional dependence, and social vulnerability, but its role in predicting...

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Principais autores:	Amaia Pikatza-Huerga, Aitor Almeida, Raúl Quirós, María José Legarreta, Unai Zulaika, Daniela Mestre, Susana García-Gutiérrez
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2026-05-01
סדרה:	Scientific Reports
גישה מקוונת:	https://doi.org/10.1038/s41598-026-51343-y
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