Published on in Vol 8, No 9 (2020): September
![Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study](https://asset.jmir.pub/assets/a5c2b48a1e9ce07b2bdc53e159fb749a.png 480w,https://asset.jmir.pub/assets/a5c2b48a1e9ce07b2bdc53e159fb749a.png 960w,https://asset.jmir.pub/assets/a5c2b48a1e9ce07b2bdc53e159fb749a.png 1920w,https://asset.jmir.pub/assets/a5c2b48a1e9ce07b2bdc53e159fb749a.png 2500w)
1 School of Computing, Engineering and Intelligent Systems, Ulster University, Derry~Londonderry, United Kingdom
2 School of Biomedical Sciences, Nutrition Innovation Centre for Food and Health, Ulster University, Coleraine, United Kingdom
3 School of Geography and Environmental Sciences, Ulster University, Coleraine, United Kingdom
4 School of Computing, Ulster University, Jordanstown, United Kingdom
5 School of Health, Wellbeing and Social Care, The Open University, Belfast, United Kingdom
6 School of Medicine, Trinity College Dublin, Dublin, Ireland
7 Mercers Institute for Research on Ageing, St James's Hospital, Dublin, Ireland