Abstract

The present methods of diagnosing depression are entirely dependent on self-report ratings or clinical interviews. Those traditional methods are subjective, where the individual may or may not be answering genuinely to questions. In this paper, the data has been collected using self-report ratings and also using electronic smartwatches. This study aims to develop a weighted average ensemble machine learning model to predict major depressive disorder (MDD) with superior accuracy. The data has been pre-processed and the essential features have been selected using a correlation-based feature selection method. With the selected features, machine learning approaches such as Logistic Regression, Random Forest, and the proposed Weighted Average Ensemble Model are applied. Further, for assessing the performance of the proposed model, the Area under the Receiver Optimization Characteristic Curves has been used. The results demonstrate that the proposed Weighted Average Ensemble model performs with better accuracy than the Logistic Regression and the Random Forest approaches.

Highlights

  • As we live in modern times where computer jobs and fast food chains are used to enhance life, no one is ready to consider exercising or taking time out [1]

  • Once the features are decided, we have proposed a Weighted Average Ensemble machine learning model by combining the Logistic Regression and Random Forest method

  • The results show that the highest classification accuracy is achieved by the Logistic Regression classifier (90%)

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Summary

Introduction

As we live in modern times where computer jobs and fast food chains are used to enhance life, no one is ready to consider exercising or taking time out [1]. With all the stress happening, it is more than typical that the stress comes with anxiety and depression. People these days are confused with what they are doing and do not have a proper vision, which makes them puzzled. This can end up in depression [2]. The more dangerous part is that the person may not know they are experiencing depression [3]. The prevailing thought among people is that they should take care of their physical health, but the fact is mental health is just as important as physical health, and it is more important as anything that affects mental health will eventually affect the physical, too [4]

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