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Prediction of Depression among Senior Citizens using Machine Learning Classifiers

by Ishita Bhakta, Arkaprabha Sau
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 144 - Number 7
Year of Publication: 2016
Authors: Ishita Bhakta, Arkaprabha Sau
10.5120/ijca2016910429

Ishita Bhakta, Arkaprabha Sau . Prediction of Depression among Senior Citizens using Machine Learning Classifiers. International Journal of Computer Applications. 144, 7 ( Jun 2016), 11-16. DOI=10.5120/ijca2016910429

@article{ 10.5120/ijca2016910429,
author = { Ishita Bhakta, Arkaprabha Sau },
title = { Prediction of Depression among Senior Citizens using Machine Learning Classifiers },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 144 },
number = { 7 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume144/number7/25190-2016910429/ },
doi = { 10.5120/ijca2016910429 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:46:59.445930+05:30
%A Ishita Bhakta
%A Arkaprabha Sau
%T Prediction of Depression among Senior Citizens using Machine Learning Classifiers
%J International Journal of Computer Applications
%@ 0975-8887
%V 144
%N 7
%P 11-16
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Depression among elderly population is an emerging problem of public health. Various socio demographic factors like age, sex, earning status, living spouse and family type etc are responsible for depression among senior people. Some co morbid conditions like visual problem, hearing difficulties, mobility problem also influence the disease. But depression can be diagnosed at earliest using predictive modeling with various influencing input variables. WEKA is a data mining tool used for prediction based on machine learning classifiers. In this paper five machine learning classifiers are compared with respect to three test options. A best method for depression prediction in aged persons also has been chosen among these five methods through comparison study.

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Index Terms

Computer Science
Information Sciences

Keywords

Bayes Net classifier Decision Table Depression Prediction Multi-Layer Perceptron classifier Logistic Model Sequential Minimal Optimization (SMO) classifier.

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