ABSTRACT
Healthcare is one of the largest and complex sectors in the stock market. It comprises a broad range of companies including hospitals, healthcare providers, selling of medical devices, drugs, and insurance. When the coronavirus unexpectedly comes into sight, the entire world economy has stagger. This has decreased the surgeries, outpatient department footfall, international patients, medical device pharmaceutical, and healthcare commodities. Medical device industry has worst affected the export of medical devices and the critical raw materials are disturbed due to the restriction on movement, social distancing, travel, and transport. Healthcare industry challenged a burden such as 100% of alertness for the protection in hospitals and further investment of manpower, equipment, consumables, etc. Health and wealth are the two main components of well-being in life. Almost everything requires money from food to education to health services. During this pandemic situation, we have to take care of both health and wealth. Healthcare industry is one of the world's major and fastest emergent enterprises. Nowadays, with the advancement of expertise like analytics, business intelligence (BI), and artificial intelligence (AI), the prediction of stock value has improved and benefits the investors to make the right decisions. This study aimed to predict the hospital and healthcare services stocks in the Indian Stock Market Index (Nifty). Companies like Apollo Hospitals Enterprise Limited, Cadila Healthcare Ltd., Dr. Reddy's Laboratories, Fortis Healthcare Limited, Max Healthcare InstituteLimited, Opto Circuits Limited, Panacea Biotec, Poly Medicure Ltd., Thyrocare Technologies Limited, and Zydus Wellness Ltd. were used in this study to predict healthcare stocks. Hospital and healthcare service stocks were predicted using linear regression (LR), autoregressive integrated moving average (ARIMA), and long short-term memory (LSTM). © 2022 Scrivener Publishing LLC.
ABSTRACT
India imposed the largest lockdown in the world in response to fight the spread of the Novel Coronavirus disease (COVID-19) from 19 March till 31 May 2020. The onset of the pandemic left the general public feeling psychosocially distressed, helpless, and anxious. The researcher developed a Messenger supported Chatbot, based on the broaden and build model, to cater to the healthy general public to promote positivity and mental well-being. 31 participants between 22 and 45 years old consensually took a pre-test, Chatbot intervention, and post-test. The Chatbot provided guided activities out of which positive affirmations, meditation, and exercises were mostly used. The qualitative data from the study shows that the majority of the participants strongly feel positivity is within themselves and that the tool provided a self-help approach to be me well, mentally during the lockdown. The intervention helped significantly reducing symptoms of psychosocial distress in six of the individual's postchatbot interventions. Participants' impressions of the tool suggest more preponderant opportunities for future research in technology-driven mental health support.