Martina Andrulli
Machine learning modelling for mortality prediction in a population of older adults.
Rel. Monica Visintin, Brendan O'Flynn, Salvatore Tedesco. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2020
Abstract
Nowadays, the rapid ageing of the population has driven researchers’ and clinicians’ interest with the final goal of extending the duration of human life-cycle while, at the same time, minimize the overall healthcare cost. Moreover, the increased use of healthcare resources by the older population is currently putting significant pressure on the healthcare systems worldwide. For this reason, the efficient assessment of patients’ current health status and, even more, the implementation of prognostic modelling for the development of mortality risk prediction algorithms, is of primary importance since being able to make an accurate prediction about a person’s mortality risk can improve the long-term survival and reduce the healthcare economic burden.
The rationale behind this study was to demonstrate the value that machine learning, through accurate and objective predictions, could offer in this scenario
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Informazioni aggiuntive
Corso di laurea
Classe di laurea
Ente in cotutela
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
