Predicting the Depression Level of Excessive Use of Mobile Phone

Abstract

In this research titled “Predicting the Depression Level of Excessive Use of Mobile Phone: Using Machine Learning Algorithm” which is applied advanced machine learning and regression analysis to find out the depression level. We have done the whole work in the research area of medical science and information technology and also built up a collaboration. In this study, we are focusing on the strength of the algorithm and also calculate the accuracy with python programming. The result expresses that smart mobile device changing the human brain day by day if spend more time around 8 to 12 hours a day. At last, we observed that a man or woman slowly going through a depression for the impact of the excessive mobile operates. In our study, we have used multiple classification algorithms to find out depression level such as Probability, Decision Tree, Random Forest, Linear Regression and SVM (Support Vector Machine). For the accuracy of our work, we have used four types of algorithms to find the optimal ratio and percentage.