{"title":"Chapter Four Women working in healthcare sector during COVID-19 in the National Capital Region of India: a case study","authors":"V. Jain, Senu Mary Skariah","doi":"10.1016/B978-0-323-91196-2.00015-6","DOIUrl":"https://doi.org/10.1016/B978-0-323-91196-2.00015-6","url":null,"abstract":"","PeriodicalId":127794,"journal":{"name":"Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123010270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chapter Ten Improving mental health surveillance over Twitter text classification using word embedding techniques","authors":"Reno Ardian Syaputra, Rashida Ali","doi":"10.1016/B978-0-323-91196-2.00014-4","DOIUrl":"https://doi.org/10.1016/B978-0-323-91196-2.00014-4","url":null,"abstract":"","PeriodicalId":127794,"journal":{"name":"Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114308817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chapter Six A deep learning approach toward prediction of mental health of Indians","authors":"V. Kavitha, C. Akila","doi":"10.1016/B978-0-323-91196-2.00009-0","DOIUrl":"https://doi.org/10.1016/B978-0-323-91196-2.00009-0","url":null,"abstract":"","PeriodicalId":127794,"journal":{"name":"Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115280894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chapter One Mental health impact of COVID-19 and machine learning applications in combating mental disorders: a review","authors":"C. Ganguly, Sagnik Nayak, A. Gupta","doi":"10.1016/B978-0-323-91196-2.00016-8","DOIUrl":"https://doi.org/10.1016/B978-0-323-91196-2.00016-8","url":null,"abstract":"","PeriodicalId":127794,"journal":{"name":"Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129141611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chapter Five Impact of COVID-19 on women educators","authors":"V. Jain, Meheriar A. Chopra","doi":"10.1016/B978-0-323-91196-2.00006-5","DOIUrl":"https://doi.org/10.1016/B978-0-323-91196-2.00006-5","url":null,"abstract":"","PeriodicalId":127794,"journal":{"name":"Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129624416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chapter Seven Machine learning based analysis and prediction of college students' mental health during COVID-19 in India","authors":"Aparajita Nanda, Sonal Tuteja, Sarishty Gupta","doi":"10.1016/B978-0-323-91196-2.00001-6","DOIUrl":"https://doi.org/10.1016/B978-0-323-91196-2.00001-6","url":null,"abstract":"","PeriodicalId":127794,"journal":{"name":"Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122555736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chapter Thirteen Technologies for vaccinating COVID-19, its variants and future pandemics: a short survey","authors":"Saurabh Jain, Priyanka Chawla, Keshav Kaushik, Adarsh Kumar","doi":"10.1016/B978-0-323-91196-2.00010-7","DOIUrl":"https://doi.org/10.1016/B978-0-323-91196-2.00010-7","url":null,"abstract":"","PeriodicalId":127794,"journal":{"name":"Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132167006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shashank Uttrani, Bharti Nanta, Neha Sharma, V. Dutt
{"title":"Chapter Eight Modeling the impact of the COVID-19 pandemic and socioeconomic factors on global mobility and its effects on mental health","authors":"Shashank Uttrani, Bharti Nanta, Neha Sharma, V. Dutt","doi":"10.1016/B978-0-323-91196-2.00012-0","DOIUrl":"https://doi.org/10.1016/B978-0-323-91196-2.00012-0","url":null,"abstract":"","PeriodicalId":127794,"journal":{"name":"Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114499682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}