Mental Health Prediction using Machine Learning and Deep Learning Technology

1. Auflage 2026
ISBN: 978-1-032-56856-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 162 Seiten, Format (B × H): 138 mm x 216 mm, Gewicht: 196 g

Today the integration of technologies like Machine Learning (ML) and Deep Learning (DL) are enabling us to understand, predict, and manage the rising mental health concerns better. This volume provides a comprehensive roadmap for researchers, practitioners, and enthusiasts to explore how artificial intelligence can revolutionize mental healthcare. The book delves into the cutting-edge innovations in predictive modeling, offering insights into how ML and DL algorithms can analyze complex psychological data, detect early warning signs, and predict mental health outcomes. Designed for a diverse audience, including data scientists, mental health professionals, and students, it combines technical rigor with real-world applications. With case studies, hands-on examples, and future-forward discussions, this book empowers readers to contribute to the next wave of mental health solutions powered by AI.

Zielgruppe

Academic and Professional Practice & Development

Autoren/Hrsg.

Mahapatra, Bandana

Mishra, Suchit

Nayyar, Anand

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Naturwissenschaften Biowissenschaften Biowissenschaften
• Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie Emotion, Motivation, Handlung
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Multimedia

Inhaltsverzeichnis

Preface. 1. Introduction to Mental Health Issues and Challenges. 2. Neurological and Learning Disabilities in Children. 3. Psychological Problems in Teenage. 4. Mental Health Challenges in Adults. 5. Machine Learning Techniques to Identify Challenges in Mental Health. 6. Deep Learning Techniques to Identify Mental Disabilities. 7. Case Study. 8. Conclusion and Future Work.

Über Autor(innen)

Bandana Mahapatra has a BTech degree from Krupajal Engineering College, Bhubaneswar (2005), an MTech from the Institute of Technical Education & Research, BPUT (2008), and a PhD from Siksha 'O' Anusandhan University (2018). She is currently with the Odisha University of Technology and Research. She has over 10 years of expertise in teaching, entrepreneurship, and R&D with specialization in computer science engineering subjects. She has published 14 patents, more than 10 research papers in reputed SCI, Scopus-indexed journals, and over 10 articles in Scopus indexed international conferences. She has authored one book and has several chapters in books.

Suchit Mishra is a technologist and security practitioner with over 20 years of global industry experience in securing mission critical products/services, cloud infrastructure, and enterprise applications for businesses worldwide. He has held key security leadership roles at tech companies like Adobe, Salesforce, and Uber in the USA and successfully embedded IT and security best practices at hyper growth unicorns like Flipkart, Grab, Audi Autonomous Intelligent Driving, Audibene, and Matillion across India, Singapore, Germany, and the UK. Suchit holds a double MS in Information Technology from Carnegie Mellon University, Pittsburgh, PA, USA and an MS in Electrical Engineering from University of Alabama, Birmingham, AL, USA.

Anand Nayyar is a Professor, Scientist, Vice-Chairman (Research) at the School of Computer Science, Duy Tan University, Da Nang, Vietnam and also the Director of IoT and Intelligent Systems Laboratory. He has over 200+ research papers in ISISCI/SCIE/SSCI journals. He is listed in Top 2% Scientists and Research.com. He is the Managing Editor of the International Journal of Knowledge and Systems Science and Editor-in-Chief of the International Journal of Smart Vehicles and Smart Transportation.