Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
A Computational Approach
- 1st Edition - April 22, 2022
- Latest edition
- Editors: Shikha Jain, Kavita Pandey, Princi Jain, Kah Phooi Seng
- Language: English
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researche… Read more
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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.
- Examines the datasets and algorithms that can be used to detect mental disorders
- Covers machine learning solutions that can help determine the precautionary measures of psychological health problems
- Highlights innovative AI solutions and bi-statistics computation that can strengthen day-to-day medical procedures and decision-making
1. Mental Health impact of COVID-19 and Machine Learning Applications in Combating Mental Disorders: A Review
2. Multimodal Depression Detection using Machine Learning
3. A Graph Convolutional Networks based Framework for Mental Stress Prediction
4. Women Working in Healthcare Sector during COVID-19 in the National Capital Region of India: A Case Study
5. Impact of Covid19 on Women Educator
6. A Deep Learning approach towards Prediction of Mental Health of Indian’s Higher Education Students in Online mode of Teaching and Learning during Pandemic
7. Machine Learning based Analysis and Prediction of College Students’ Mental Health during COVID-19 in India.
8. Modeling the Impact of the COVID-19 Pandemic and Socio-economic Factors on Global Mobility and Its Effects on Mental Health
9. Depression Detection: Approaches, Challenges and Future Directions
10. Improving Mental Health Surveillance Over Twitter Text Classification Using Word Embedding Techniques
11. Predicting Loneliness from Social Media text using Machine Learning Techniques
12. Perceiving the Level of Depression from Web Text Using Deep Learning
13. Technologies for Vaccinating COVID-19, Its Variants and Future Pandemics: A Short Survey
14. A Blockchain Approach on Security of Health Records for Children Suffering from Dyslexia during Pandemic Covid -19
- Edition: 1
- Latest edition
- Published: April 22, 2022
- Language: English
SJ
Shikha Jain
KP
Kavita Pandey
PJ
Princi Jain
Dr. Princi Jain is a Professor in the Department of Medicine at Lady Hardinge Medical College and Associated SSKH, New Delhi. A trained MBBS and MD examiner, she is an internal medicine specialist with clinical expertise in rheumatology, diabetology, and cardiology. Dr. Jain is deeply committed to serving underserved patient populations, providing free diagnosis and treatment, and coordinating advanced interventions through other hospitals when needed. She has received specialized training through the Government of India’s NELS Program and Nuclear Disaster Management, reflecting her dedication to national health initiatives and emergency preparedness. Certified in ACLS and BLS, she upholds the highest standards of emergency care. Dr. Jain actively participates in public awareness programs, teaches MBBS and postgraduate students, supervises thesis work, and contributes to conferences and workshops. During COVID-19, she served both in ward duties and as a nodal officer.
KS