What influences individual perception of health? Using machine learning to disentangle self-perceived health.

ABSTRACT: Self-perceived health is a subjective health outcome that summarizes all the health conditions and is widely used in population health studies. Yet, despite its well-known relationship with survival, it is still unclear as to which health conditions are actually taken into account when making an individual assessment of one's own health. The aim of this paper is to assess the influence of four objective health conditions - IADLs, ADLs, chronic diseases, and depression - in predicting self-perceived health among Europeans by age group (50-64 and 65-79) and by sex. Classification trees (J48 algorithm), which pertains to the emerging Machine Learning techniques, were applied to predict self-perceived health according to the four abovementioned objective health conditions of European individua

SUBMITTER: Guma J 

PROVIDER: S-EPMC8669356 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature