Analysis of Classification & Feature Selection Techniques for Detecting Dementia

6 Pages Posted: 14 Jun 2019

See all articles by Deepika Bansal

Deepika Bansal

Departmnet of Computer Science and Engineering, The NorthCap Universiy Gurugram, India

Kavita Khanna

Departmnet of Computer Science and Engineering, The NorthCap Universiy Gurugram, India

Rita Chhikara

Departmnet of Computer Science and Engineering, The NorthCap Universiy Gurugram, India

Rakesh Kumar Dua

Departmnet of NeuroSurgery,Max Super Speciality Hospital, New Delhi, India

Rajeev Malhotra

Departmnet of NeuroSurgery,Max Super Speciality Hospital, New Delhi, India

Date Written: March 20, 2019

Abstract

Dementia is a brain disorder emerging as a global health problem in adults of age 65 years or above. A lot of studies are going on for the early detection of dementia using various machine learning algorithms. In this study, we have implemented four machine learning algorithms as classifiers namely, Naïve Bayes, Random Forest, Multilayer Perceptron and SMO in combination with various feature selection techniques to obtain the classification accuracy as a measure for the detection of dementia. It is found that Random Forest is showing best result of 98.6% when CFSSubsetEval Feature selection technique is used.

Suggested Citation

Bansal, Deepika and Khanna, Kavita and Chhikara, Rita and Dua, Rakesh Kumar and Malhotra, Rajeev, Analysis of Classification & Feature Selection Techniques for Detecting Dementia (March 20, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, Available at SSRN: https://ssrn.com/abstract=3356886 or http://dx.doi.org/10.2139/ssrn.3356886

Deepika Bansal (Contact Author)

Departmnet of Computer Science and Engineering, The NorthCap Universiy Gurugram, India ( email )

Kavita Khanna

Departmnet of Computer Science and Engineering, The NorthCap Universiy Gurugram, India ( email )

Rita Chhikara

Departmnet of Computer Science and Engineering, The NorthCap Universiy Gurugram, India ( email )

Rakesh Kumar Dua

Departmnet of NeuroSurgery,Max Super Speciality Hospital, New Delhi, India ( email )

Rajeev Malhotra

Departmnet of NeuroSurgery,Max Super Speciality Hospital, New Delhi, India ( email )

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