Artificial Intelligence, Machine Learning, and Mental Health in Pandemics

Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researchers and health professionals in psychological health. The book takes a unique approach by exploring how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection and intervention for mental health at an early stage. Chapters include computational approaches, computational models, machine learning based anxiety and depression detection and artificial intelligence detection of mental health. With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression, hence this is a timely resource on the latest updates in the field.

Shikha Jain is presently working with Jaypee Institute of Information Technology (JIIT), NOIDA, INDIA as Assistant Professor. She has more than seventeen years of research and academic experience. She has received her PhD in computer science from Jaypee Institute of Information Technology, Noida, India. She has published a number of research papers in the renowned journals and conferences. She was advisory board member of a book entitled “Nature-Inspired Algorithms for Big Data Frameworks”, IGI Global. She was a guest editor of a special issue “Advances in Computational Intelligence and its applications” in International Journal of Information Retrieval Research (Publishing phase). She is active reviewer of many International Journals and technical program committee member of various International Conferences. Her research area includes Affective Computing, Emotion Modelling, Cognitive Affective Architectures, Machine Learning and Soft Computing. She is a senior member of IEEE. Kavita Pandey received her B.Tech. in Computer Science and Engineering from M.D. University in 2002 and M.Tech. (CS) from Banasthali Vidyapeeth University in year 2003. She has obtained her Ph.D. (CS) from Jaypee Institute of Information Technology (JIIT), Noida, India in January, 2017. She is currently working as an Assistant Professor (Senior Grade) in JIIT, Noida. Her research interests include Soft Computing, Machine Learning, Vehicular Ad hoc Networks, Internet of Things and Optimization Techniques. She has published various papers in International journals and conferences including Wiley, IEEE, Springer, Inderscience, etc. She worked as a guest editor of special issue, "Advances in Computational Intelligence and Applications" in International Journal of Information Retrieval Research (IJIRR), IGI Global, ESCI, Web of Science. She worked as a reviewer in many international journals of renowned publishers including Elsevier, Inderscience, IEEE Access, etc. She is an active TPC member of many conferences such as REDSET, IC3, UPCON, TEAMC, ICTCS and many more. She is also a senior member of IEEE society. Dr. Princi Jain is an Associate Professor at Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS), Lohia Hospital, Delhi, India. She has obtained MD (Internal Medicine) from Vardhman Mahavir Medical College & Safdarjang Hospital, Delhi. She has more than eight years of academic and research experience. She is an active member of Association of Physicians of India and American College of Physicians. She has published a number of research papers in renowned journals and conferences Prof. Kah Phooi Seng is an established senior academic with proven track record of teaching, research and leadership in Data Science including Machine Learning and Artificial Intelligence (AI), Engineering, Computer Science and IT disciplines. She has a PhD in AI and Signal Processing from the University of Tasmania, Australia. She has about more than 15 years substantial academic experie