Prediction of successful aging using ensemble machine learning algorithms

Prediction of successful aging using ensemble machine learning algorithms

Abstract Background Aging is a chief risk factor for most chronic illnesses and infirmities. The growth in the aged population increases medical costs, thus imposing a heavy financial burden on families and communities. Successful aging (SA) is a positive and qualitative view of aging. From a biomed...

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Bibliographic Details
Main Authors: Zahra Asghari Varzaneh, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Ensemble learning
Quality of life
Aged
Online Access:https://doi.org/10.1186/s12911-022-02001-6

Internet

https://doi.org/10.1186/s12911-022-02001-6

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