{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T10:34:31Z","timestamp":1742380471508,"version":"3.37.3"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T00:00:00Z","timestamp":1646611200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T00:00:00Z","timestamp":1646611200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s42979-022-01038-8","type":"journal-article","created":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T13:02:46Z","timestamp":1646658166000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Artificial Intelligence to Combat the Sting of the Pandemic on the Psychological Realms of Human Brain"],"prefix":"10.1007","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5518-0286","authenticated-orcid":false,"given":"Mary Fabiola","family":"Sagayaraj","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ignisha Rajathi","family":"George","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Vedhapriyavadhana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L. R.","family":"Priya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,7]]},"reference":[{"key":"1038_CR1","doi-asserted-by":"crossref","unstructured":"Wang C, Pan R, Wan X, Tan Y, Xu L, McIntyre RS, Choo FN, Tran B, Ho R, Sharma VK, Ho C. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain Behav Immun. 2020;87:40\u20138.","DOI":"10.1016\/j.bbi.2020.04.028"},{"key":"1038_CR2","first-page":"1","volume":"42","author":"MM Hossain","year":"2020","unstructured":"Hossain MM, Sultana A. NPurohit. Epidemiol Health. 2020;42:1\u201311.","journal-title":"Epidemiol Health"},{"key":"1038_CR3","doi-asserted-by":"crossref","unstructured":"Harper CA, Satchell LP, Fido D, Latzman RD. Functional fear predicts public health compliance in the COVID-19 pandemic. Int J Ment Health Addict. 2021;19(5):1875\u201388.","DOI":"10.1007\/s11469-020-00281-5"},{"issue":"2","key":"1038_CR4","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.mjafi.2020.03.017","volume":"76","author":"K Chatterjee","year":"2020","unstructured":"Chatterjee K, Chauhan VS. Epidemics, quarantine and mental health. Med J Armed Forces India. 2020;76(2):125\u20137.","journal-title":"Med J Armed Forces India"},{"key":"1038_CR5","doi-asserted-by":"crossref","unstructured":"Dubey S, Biswas P, Ghosh R, Chatterjee S, Dubey MJ, Chatterjee S, Lahiri D, Lavie CJ. Psychosocial impact of COVID-19. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020:14(5);779\u201388.","DOI":"10.1016\/j.dsx.2020.05.035"},{"issue":"3","key":"1038_CR6","doi-asserted-by":"publisher","first-page":"279","DOI":"10.3325\/cmj.2020.61.279","volume":"61","author":"K \u0106osi\u0107","year":"2020","unstructured":"\u0106osi\u0107 K, Popovi\u0107 S, \u0160arlija M, Kesed\u017ei\u0107 I, Jovanovic T. Artificial intelligence in prediction of mental health disorders induced by the COVID-19 pandemic among health care workers. Croat Med J. 2020;61(3):279\u201388.","journal-title":"Croat Med J"},{"issue":"2","key":"1038_CR7","doi-asserted-by":"publisher","first-page":"147","DOI":"10.4103\/ijmr.IJMR_519_20","volume":"151","author":"P Chatterjee","year":"2020","unstructured":"Chatterjee P, Nagi N, Agarwal A, Das B, Banerjee S, Sarkar S, Gupta N, Gangakhedkar RR. The 2019 novel coronavirus disease (COVID-19) pandemic: a review of the current evidence. Indian J Med Res. 2020;151(2):147\u201359.","journal-title":"Indian J Med Res"},{"key":"1038_CR8","doi-asserted-by":"publisher","first-page":"102258","DOI":"10.1016\/j.janxdis.2020.102258","volume":"74","author":"G Mertens","year":"2020","unstructured":"Mertens G, Gerritsen L, Duijndam S, Salemink E, Engelhard IM. Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. J Anxiety Disord. 2020:74;102258.","journal-title":"J Anxiety Disord"},{"issue":"6","key":"1038_CR9","doi-asserted-by":"publisher","first-page":"e0235305","DOI":"10.1371\/journal.pone.0235305","volume":"15","author":"MDC P\u00e9rez-Fuentes","year":"2020","unstructured":"P\u00e9rez-Fuentes MDC, Molero Jurado MDM, Martos Mart\u00ednez \u00c1, G\u00e1zquez Linares JJ. Threat of COVID-19 and emotional state during quarantine: Positive and negative affect as mediators in a cross-sectional study of the Spanish population. PLoS ONE. 2020:15(6);e0235305.","journal-title":"PLoS ONE"},{"key":"1038_CR10","doi-asserted-by":"crossref","unstructured":"Jiao WY, Wang LN, Liu J, Fang SF, Jiao FY, Pettoello-Mantovani M, Somekh E. Behavioral and emotional disorders in children during the COVID-19 epidemic. J Pediatr. 2020:221;264\u20136.","DOI":"10.1016\/j.jpeds.2020.03.013"},{"key":"1038_CR11","doi-asserted-by":"crossref","unstructured":"Jefsen OH, Rohde C, N\u00f8rremark B, \u00d8stergaard SD. Editorial Perspective: COVID-19 pandemic-related psychopathology in children and adolescents with mental illness. J Child Psychol Psychiatry. 2021:62(6);798\u2013800.","DOI":"10.1111\/jcpp.13292"},{"issue":"7","key":"1038_CR12","first-page":"695","volume":"28","author":"IV Vahia","year":"2020","unstructured":"Vahia IV, Blazer DG, Smith GS, Karp JF, Steffens DC, Forester BP, Tampi R, Agronin M, Jeste DV, Reynolds CF III. COVID-19. Pmc J. 2020;28(7):695\u20137.","journal-title":"Pmc J"},{"issue":"3","key":"1038_CR13","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1016\/j.pcad.2020.03.009","volume":"63","author":"D Jim\u00e9nez-Pav\u00f3n","year":"2020","unstructured":"Jim\u00e9nez-Pav\u00f3n D, Carbonell-Baeza A, Lavie CJ. Physical exercise as therapy to fight against the mental and physical consequences of COVID-19 quarantine: Special focus in older people. Prog Cardiovasc Dis. 2020:63(3):386.","journal-title":"Prog Cardiovasc Dis"},{"key":"1038_CR14","doi-asserted-by":"publisher","first-page":"102119","DOI":"10.1016\/j.ajp.2020.102119","volume":"51","author":"MS Spoorthy","year":"2020","unstructured":"Spoorthy MS, Pratapa SK, Mahant S. Mental health problems faced by healthcare workers due to the COVID-19 pandemic\u2014a review. Asian J Psychiatry. 2020;51:102119.","journal-title":"Asian J Psychiatry"},{"issue":"5","key":"1038_CR15","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1093\/occmed\/kqaa052","volume":"70","author":"V Williamson","year":"2020","unstructured":"Williamson V, Murphy D, Greenberg N. COVID-19 and experiences of moral injury in front-line key workers. Occup Med. 2020;70(5):317\u20139.","journal-title":"Occup Med"},{"key":"1038_CR16","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1590\/1516-4446-2020-0008","volume":"42","author":"F Ornell","year":"2020","unstructured":"Ornell F, Schuch JB, Sordi AO, Kessler FH. \u201cPandemic fear\u201d and COVID-19: mental health burden and strategies. Braz J Psychiatry. 2020;42:232\u20135.","journal-title":"Braz J Psychiatry"},{"key":"1038_CR17","doi-asserted-by":"crossref","unstructured":"Bashir MF, Shahzad K, Komal B, Bashir MA, Bashir M, Tan D, Fatima T, Numan U. Environmental quality, climate indicators, and COVID-19 pandemic: insights from top 10 most affected states of the USA. Environ Sci Pollut Res Int. 2021;28(25):32856\u201365.","DOI":"10.1007\/s11356-021-12646-x"},{"issue":"4","key":"1038_CR18","first-page":"186","volume":"5","author":"J Tsai","year":"2020","unstructured":"Tsai J, Wilson M. COVID. Lancet J. 2020;5(4):186\u20137.","journal-title":"Lancet J"},{"key":"1038_CR19","doi-asserted-by":"crossref","unstructured":"Asmundson GJ, Paluszek MM, Landry CA, Rachor GS, McKay D, Taylor S. Do pre-existing anxiety-related and mood disorders differentially impact COVID-19 stress responses and coping?. J Anxiety Disord. 2020:74;102271.","DOI":"10.1016\/j.janxdis.2020.102271"},{"key":"1038_CR20","doi-asserted-by":"crossref","unstructured":"Chatterjee SS, Vora M, Malathesh BC, Bhattacharyya R. Worried well and Covid-19: Re-emergence of an old quandary. Asian J psychiatry. 2020:54;102247.","DOI":"10.1016\/j.ajp.2020.102247"},{"key":"1038_CR21","doi-asserted-by":"crossref","unstructured":"Huang Y, Zhao N. Corrigendum to Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey. Psychiatry Res. 2021:288(2020);112954.","DOI":"10.1016\/j.psychres.2020.112954"},{"key":"1038_CR22","doi-asserted-by":"crossref","unstructured":"Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, Ho RC. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health. 2020:17(5);1729.","DOI":"10.3390\/ijerph17051729"},{"key":"1038_CR23","doi-asserted-by":"crossref","unstructured":"Montemurro N. Intracranial hemorrhage and COVID-19, but please do not forget \u201cold diseases\u201d and elective surgery. Brain Behav Immun. 2021;97:207.","DOI":"10.1016\/j.bbi.2020.11.034"},{"key":"1038_CR24","doi-asserted-by":"crossref","unstructured":"Courtet P, Oli\u00e9 E, Debien C, Vaiva G. Keep socially (but not physically) connected and carry on: preventing suicide in the age of COVID-19. J clin Psychiatry. 2020;81(3):15527.","DOI":"10.4088\/JCP.20com13370"},{"key":"1038_CR25","doi-asserted-by":"crossref","unstructured":"Cameron G, Cameron D, Megaw G, Bond R, Mulvenna M, O\u2019Neill S, Armour C, McTear M. Towards a chatbot for digital counselling, Proceedings of the 31st International BCS Human Computer Interaction Conference; 2017.","DOI":"10.14236\/ewic\/HCI2017.24"},{"key":"1038_CR26","doi-asserted-by":"publisher","first-page":"1987","DOI":"10.1007\/s11277-019-06664-9","volume":"109","author":"G IgnishaRajathi","year":"2019","unstructured":"IgnishaRajathi G, WiselinJiji G. A novel automatic liver segmentation by level set method over real-time sensory computed tomography. Wirel Pers Commun. 2019;109:1987\u20132010. https:\/\/doi.org\/10.1007\/s11277-019-06664-9.","journal-title":"Wirel Pers Commun"},{"key":"1038_CR27","doi-asserted-by":"publisher","first-page":"33","DOI":"10.3390\/sym11010033","volume":"11","author":"G IgnishaRajathi","year":"2019","unstructured":"IgnishaRajathi G, WiselinJiji G. Chronic liver disease classification using hybrid whale optimization with simulated annealing and ensemble classifier. Symmetry. 2019;11:33. https:\/\/doi.org\/10.3390\/sym11010033.","journal-title":"Symmetry"},{"issue":"3","key":"1038_CR28","first-page":"594","volume":"12","author":"R Vedhapriyavadhana","year":"2020","unstructured":"Vedhapriyavadhana R, Sneha C, Shalini A, Subashinikrishna S. Myocardial analysis using deep learning neural network. J Interdiscip Cycle Res. 2020;12(3):594\u2013603.","journal-title":"J Interdiscip Cycle Res"},{"issue":"5","key":"1038_CR29","first-page":"4947","volume":"63","author":"R Niranjana","year":"2020","unstructured":"Niranjana R, Ravi A, Vedhapriyavadhana R, Francy I, Rani E, Prasanth NN. Breast cancer detection using deep learning neural network with image processing techniques. Solid State Technol. 2020;63(5):4947\u201355.","journal-title":"Solid State Technol"},{"key":"1038_CR30","unstructured":"Nagajothi S, Ignisha Rajathi G, Manikandan M, Boopala J. Data privacy preservation in cloud using Mapreduce. Int J Sci Technol Res ISSN No. 2277\u20138616, February 2020, Volume 9, Issue 2."}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01038-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-022-01038-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-022-01038-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,9]],"date-time":"2022-05-09T17:48:55Z","timestamp":1652118535000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-022-01038-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,7]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["1038"],"URL":"https:\/\/doi.org\/10.1007\/s42979-022-01038-8","relation":{},"ISSN":["2662-995X","2661-8907"],"issn-type":[{"type":"print","value":"2662-995X"},{"type":"electronic","value":"2661-8907"}],"subject":[],"published":{"date-parts":[[2022,3,7]]},"assertion":[{"value":"24 September 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}],"article-number":"182"}}