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Machine learning for identification of frailty in...
Journal article

Machine learning for identification of frailty in Canadian primary care practices

Abstract

INTRODUCTION: Frailty is a medical syndrome, commonly affecting people aged 65 years and over and is characterized by a greater risk of adverse outcomes following illness or injury. Electronic medical records contain a large amount of longitudinal data that can be used for primary care research. Machine learning can fully utilize this wide breadth of data for the detection of diseases and syndromes. The creation of a frailty case definition …

Authors

Aponte-Hao S; Wong ST; Thandi M; Ronksley P; McBrien K; Lee J; Grandy M; Katz A; Mangin D; Singer A

Journal

International Journal for Population Data Science, Vol. 6, No. 1,

Publisher

Swansea University

DOI

10.23889/ijpds.v6i1.1650

ISSN

2399-4908