Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Design of Machine Learning Model for Health Care Index during COVID- 19 Description An account of the resource Predicting stock prices and index movement in the field of finance is always challenging. The events in the macro-economic framework affect the trends of the market and the COVID-19 pandemic was a major reason for the slowdown of the global economies in the short run. It was assumed that the healthcare industry has completely been transformed due to changing behavioral habits of individuals. The study presents the time series approach with the help of historical prices on the Bombay Stock Exchanges (BSE) Health Care Index, both in the long and short run, using the ARIMA model. The period of the study is from February 1999 to August 2020. The ARIMA equations are used to forecast the future price movement of the Health Care Index till December 2020. The findings reveal that the market will continue with the same volatility, and investors should give due attention to analysis and logical reasoning rather than following their feeling of overconfidence. 2024 Taylor &amp; Francis Group, LLC. Creator An entity primarily responsible for making the resource Gupta N.; Chuabey S.; Patni I.; Bhatnagar V.; Poonia R.C. Source A related resource from which the described resource is derived Machine Intelligence: Computer Vision and Natural Language Processing, pp. 151-162. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003424550-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003424550-8</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173397193&amp;doi=10.1201%2F9781003424550-8&amp;partnerID=40&amp;md5=ce6c9d0367fa2b8a8d028f4d2af95c8a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173397193&amp;doi=10.1201%2f9781003424550-8&amp;partnerID=40&amp;md5=ce6c9d0367fa2b8a8d028f4d2af95c8a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100096031-0; 978-103220199-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gupta N., Department of Computer Applications, Manipal University, Rajasthan, Jaipur, India; Chuabey S., Department of Computer Applications, Manipal University, Rajasthan, Jaipur, India; Patni I., Department of Computer Applications, Manipal University, Rajasthan, Jaipur, India; Bhatnagar V., Department of Computer Applications, Manipal University, Rajasthan, Jaipur, India; Poonia R.C., Department of Computer Science, Christ University, Karnataka, Bangalore, India