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 using machine learning may facilitate early intervention, inform advanced screening tests, and allow for surveillance.

Objectives

The objective of this study was to develop a validated case definition of frailty for the primary care context, using machine learning.

Methods

Physicians participating in the Canadian Primary Care Sentin

SUBMITTER: Aponte-Hao S 

PROVIDER: S-EPMC8431345 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature