Machine learning for identification of frailty in Canadian primary care practices

IntroductionFrailty 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. Machi...

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Vydáno v:	International journal of population data science Ročník 6; číslo 1; s. 1650
Hlavní autoři:	Aponte-Hao, Sylvia, Wong, Sabrina T., Thandi, Manpreet, Ronksley, Paul, McBrien, Kerry, Lee, Joon, Grandy, Mathew, Mangin, Dee, Katz, Alan, Singer, Alexander, Manca, Donna, Williamson, Tyler
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Wales Swansea University 01.01.2021
Témata:	Aged Canada - epidemiology Frailty - diagnosis Humans Machine Learning Population Data Science Primary Health Care Reproducibility of Results Retrospective Studies Canada supervised machine learning Canada frailty electronic medical records case definition primary care electronic health records machine learning
ISSN:	2399-4908, 2399-4908
On-line přístup:	Získat plný text
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