Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression.

Journal: Aging clinical and experimental research
PMID: 40072711

Abstract

BACKGROUND: Early prediction of progression in dementia is of major importance for providing patients with adequate clinical care, with considerable impact on the organization of the whole healthcare system.

Authors

  • Carlotta Cazzolli
    Data Science for Health, Fondazione Bruno Kessler, Via Sommarive 18, Trento, 38123, Italy.
  • Marco Chierici
    a Fondazione Bruno Kessler , Trento , Italy.
  • Monica Dallabona
    Unità Operativa Psicologia, Dipartimento Transmurale Salute Mentale, Azienda Provinciale per i Servizi Sanitari, Viale Verona, Trento, 38123, Italy.
  • Chiara Guella
    Unità Operativa Psicologia, Dipartimento Transmurale Salute Mentale, Azienda Provinciale per i Servizi Sanitari, Viale Verona, Trento, 38123, Italy.
  • Giuseppe Jurman
    a Fondazione Bruno Kessler , Trento , Italy.

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