Mental Health At Work Prediction Using Neural Networks

Being healthy is a very important aspect of one's life and should not be taken very lightly. Physical and mental health are both incredibly vital. Physical health can be maintained by exercise and if there is any problem with it, it can be resolved in a short span of time. But if one's mental health gets disturbed, it takes a lot amount of time and patience to get cured. Mental health can be affected anywhere there's not a certain place for mental health to deteriorate, but stress at the workplace plays a huge role in making its condition worse. Curing mental health takes a lot of time, medicines and effort which starts to impact one's physical health too which causes harm to the most crucial aspects of one's life i.e. being healthy. Many machine learning and deep learning techniques such as the machine learning classification techniques and the deep learning's neural network techniques are used to predict the mental health of one. The main aim of the paper is to show which neural network technique works best to solve this problem in the terms of accuracy mental health at work, deep learning, comparative analysis, artificial neural network, convolutional neural network