Trading-Off Machine Learning Algorithms towards Data-Driven Administrative-Socio-Economic Population Health Management

Volume: 10, Issue: 1, Pages: 4 - 4
Published: Dec 25, 2020
Abstract
Together with population ageing, the number of people suffering from multimorbidity is increasing, up to more than half of the population by 2035. This part of the population is composed by the highest-risk patients, who are, at the same time, the major users of the healthcare systems. The early identification of this sub-population can really help to improve people’s quality of life and reduce healthcare costs. In this paper, we describe a...
Paper Details
Title
Trading-Off Machine Learning Algorithms towards Data-Driven Administrative-Socio-Economic Population Health Management
Published Date
Dec 25, 2020
Journal
Volume
10
Issue
1
Pages
4 - 4
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