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, Master of science program in Ict For Smart Societies, 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
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