Abstract
“Old Age People Emotional Stress Prediction during Outbreak using Machine learning methods” discusses that there are two types of stress in elderly people: physical stress and emotional stress. It is very easy to detect physical stress, such as walking problems, breathing problems, problems in doing their daily routine work, etc., but it is very tough to detect emotional stress, and treatment is even more difficult. There are some common reasons for stress, such as financial problems after retirement, taking care of a sick spouse or the death of a spouse, and many more. The common symptoms of stress are loss of appetite, anxiety, insomnia, etc. But the situation gets worse during an outbreak. If an outbreak comes in the form of a pandemic such as a coronavirus, resulting in the death of loved ones, these things increase the level of emotional stress in elderly people. To predict their emotional stress, authors are using machine learning algorithms, Support vector machine for classification and for prediction Logistic Regression have been applied.
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The authors would like to pay their sincere thanks to Mohammad Tabish Hasan, Compliance Officer, United Arab Bank, Sharjah, UAE and Mr. Manoj Kumar Madheshiya, Lucknow, India for their continuous guidance in completing the chapter work.
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Ali, S., Azhar, N. (2022). Old Age People Emotional Stress Prediction During Outbreak Using Machine Learning Methods. In: Mittal, M., Goyal, L.M. (eds) Predictive Analytics of Psychological Disorders in Healthcare. Lecture Notes on Data Engineering and Communications Technologies, vol 128. Springer, Singapore. https://doi.org/10.1007/978-981-19-1724-0_9
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