FRELSA: A dataset for frailty in elderly people originated from ELSA and evaluated through machine learning models.

Journal: International journal of medical informatics
PMID:

Abstract

BACKGROUND: Frailty is an age-related syndrome characterized by loss of strength and exhaustion and associated with multi-morbidity. Early detection and prediction of the appearance of frailty could help older people age better and prevent them from needing invasive and expensive treatments. Machine learning techniques show promising results in creating a medical support tool for such a task.

Authors

  • Matteo Leghissa
    Universidad Politécnica de Madrid, Av. Complutense, 30, 28040, Madrid, Spain. Electronic address: matteo.leg@upm.es.
  • Álvaro Carrera
    Universidad Politécnica de Madrid, Av. Complutense, 30, 28040, Madrid, Spain. Electronic address: a.carrera@upm.es.
  • Carlos Á Iglesias
    Universidad Politécnica de Madrid, Av. Complutense, 30, 28040, Madrid, Spain. Electronic address: carlosangel.iglesias@upm.es.