Abstract
Mental health is nowadays a topic that is most often discussed when it comes to research but least frequently discussed when it comes to personal life. The expanding utilization of innovation will prompt a way of life of less actual work. Additionally, the constant pressure on a worker in the IT industry will make it more defenseless against mental issues. Employees in the tech industry are most vulnerable to such illness as this quick moving industry has huge stakes, which expect individuals to meet considerably better standards. So, it is of extreme importance to develop a prescient predictive model for automated diagnosis of mental illness. We aim to propose a model using Stacking Classifier with the help of feature selection for prediction which outperforms the existing models implemented.
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Sailaja, V., Yelamarthi, M., Nandyala, A., Manda, M., Yamini, K.P., Balusu, V.K. (2023). Prediction of Depression in Techies at Workplaces. In: Reddy, A.B., Nagini, S., Balas, V.E., Raju, K.S. (eds) Proceedings of Third International Conference on Advances in Computer Engineering and Communication Systems. Lecture Notes in Networks and Systems, vol 612. Springer, Singapore. https://doi.org/10.1007/978-981-19-9228-5_12
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DOI: https://doi.org/10.1007/978-981-19-9228-5_12
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