Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets

ConclusionsThis study provides additional evidence that machine learning can be used as a tool together with big data in health economics for identification of new risk factors and prediction of high-cost users with CVD. As such, machine learning may potentially assist with health services planning and preventive measures to improve population health while potentially saving healthcare costs.

Source: Health Economics Review - February 4, 2023 Category: International Medicine & Public Health Source Type: research