Dementia Detection Using Machine Learning by Stacking Models
Ram Murti Rawat, Mohammad Kalim Akram, Mithil, S. Pradeep
Abstract
Dementia is a syndrome which weakens the memory, thinking, behavior, and the ability to perform normal day-to-day activities. Although dementia mainly affects older people, it is not a part of aging. Machine Learning (ML) is considered as one of the contemporary approaches in predicting, identifying, and making decisions without having human involvement. ML is quickly evolving in the medical industry ranging from diagnosis to visualization of diseases and the study of disease transmission. The present study aims to explore the usage of the stacking of two models, namely gradient boosting machine and artificial neural network is used in the prediction of dementia and validate its performance through statistical analysis.