machine learning

Pan, Cheng, Luo, Hao, Cheung, Gary, Zhou, Huiquan, Cheng, Reynold, Cullum, Sarah, Wu, Chuan 2024. Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size. JMIR AI. 3 () e44185.
Aryal, K., Mowbray, F. I., Miroshnychenko, A., Strum, R. P., Dash, D., Hillmer, M. P., Malikov, K., Costa, A. P., Jones, A. 2024. Evaluating methods for risk prediction of Covid-19 mortality in nursing home residents before and after vaccine availability: a retrospective cohort study. BMC Med Res Methodol. 24 (1) 77.
Rangrej, J., Kaufman, S., Wang, S., Kerem, A., Hirdes, J., Hillmer, M. P., Malikov, K. 2022. Identifying Unexpected Deaths in Long-Term Care Homes. Journal of the American Medical Directors Association. 23 (8) 1431.e21-1431.e28.
Mowbray, Fabrice, Zargoush, Manaf, Jones, Aaron, de Wit, Kerstin, Costa, Andrew 2020. Predicting hospital admission for older emergency department patients: Insights from machine learning. International Journal of Medical Informatics. 140 () 104163.
Yang, Yang, Hirdes, John P., Dubin, Joel A., Lee, Joon 2019. Fall Risk Classification in Community-Dwelling Older Adults Using a Smart Wrist-Worn Device and the Resident Assessment Instrument-Home Care: Prospective Observational Study. JMIR aging. 2 (1) e12153-e12153.
Mashouri, Pouria, Taati, Babak, Quirt, Hannah, Iaboni, Andrea 2019. Quality Indicators as Predictors of Future Inspection Performance in Ontario Nursing Homes. Journal of the American Medical Directors Association. () S1525-8610(19)30658-9.