Development of a Frailty Detection Model Using Machine Learning with the Korean Frailty and Aging Cohort Study Data
Dongjun Koo, Ah Ra Lee, Eunjoo Lee, Il Kon Kim
Healthc Inform Res. 2022;28(3):231-239.   Published online 2022 Jul 31     DOI: https://doi.org/10.4258/hir.2022.28.3.231
Citations to this article as recorded by Crossref logo
Digital health technology combining wearable gait sensors and machine learning improve the accuracy in prediction of frailty
Shaoyi Fan, Jieshun Ye, Qing Xu, Runxin Peng, Bin Hu, Zhong Pei, Zhimin Yang, Fuping Xu
Frontiers in Public Health.2023;[Epub]     CrossRef
Machine learning approaches for frailty detection, prediction and classification in elderly people: A systematic review
Matteo Leghissa, Álvaro Carrera, Carlos A. Iglesias
International Journal of Medical Informatics.2023; 178: 105172.     CrossRef
Benefits of Information Technology in Healthcare: Artificial Intelligence, Internet of Things, and Personal Health Records
Hyejung Chang, Jae-Young Choi, Jaesun Shim, Mihui Kim, Mona Choi
Healthcare Informatics Research.2023; 29(4): 323.     CrossRef