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Psychopathology Early Prediction and Classification
A Deep Generative AI Approach
Abhishek Kumar (Edited by), A Kumar (Author), Pramod Singh Rathore (Edited by), Sachin Ahuja (Edited by), Pankaj Rahi (Edited by)
9781394336739, Wiley
Hardback, published 2 July 2026
784 pages
22.9 x 15.2 x 4.5 cm, 1.211 kg
Unlock the full potential of artificial intelligence in mental health with this definitive guide to combining multiple machine learning models for reproducible biomarker discovery and predictive treatment modeling. Advancing Psychopathology Diagnosis and Treatment: The Power of Ensemble Learning delves into the transformative potential of ensemble learning techniques in the field of psychopathology. This comprehensive book provides an in-depth exploration of how combining multiple machine learning models can enhance the accuracy of diagnoses, predict treatment outcomes, and refine therapeutic interventions for a variety of mental health disorders, including depression, anxiety, schizophrenia, and bipolar disorder. Key sections of the book examine the capabilities of ensemble learning in developing personalized treatment strategies that cater to individual patient needs and predicting treatment responses. It also explores the use of these advanced algorithms for biomarker discovery, enhancing the reproducibility of identifying biological indicators linked to mental health conditions. The book discusses the practical aspects of implementing these technologies in clinical settings, including integration with existing healthcare systems and clinician training. Through a blend of theoretical insights and practical examples, this book is an essential resource for clinicians, researchers, and policymakers involved in mental health care, offering innovative solutions and fostering a deeper understanding of how artificial intelligence can be harnessed to improve patient outcomes in psychopathology.
Preface xxvii 1 Assessment of Well-Being Among Undergraduate Students Using PERMA+ Model 1 2 Deep Generative AI for Psychopathology Classification and Children's Handwriting Recognition 25 3 AI-Driven Drug Discovery and Personalized Medicine in Cancer 47 4 Integration of Multiomics Data for Precision Cancer Research 67 5 Leveraging RNNs for Cancer Time-Series Data Analysis 89 6 Designing Nanobots for Targeted Drug Delivery and the Application of Nanotechnology in Modern Medical Advancements 109 8 Evaluating Precision of Artificial Intelligence–Driven Robotic Assistants in Complex Surgeries within Robotic Surgery Healthcare Advancements 165 9 Enhancing Cancer Diagnosis through Artificial Intelligence–Assisted Histopathology in Digital Pathology Applications for Healthcare Management 191 10 Developing Smart Hydrogels for Wound Care and Drug Delivery Applications with Hydrogel Technology Advancements in Healthcare Systems 215 11 AI-Enhanced Image Analysis for Chronic Disease Diagnosis: AI-Driven Advancements in Medical Imaging (MRI, CT, X-Rays) for Diagnosing Chronic Diseases Like Cancer and Liver Cirrhosis 243 12 AI in Chronic Kidney Disease: Monitoring, Prediction, and Prevention How AI Helps Track Kidney Function, Predict Progression, and Optimize Dialysis Treatments 267 13 Advanced Survival Analysis for Cancer Prognostics Using AI 289 14 AI-Driven Innovations in Cancer Screening and Detection 309 15 Exploring Transfer Learning for Improved Cancer Diagnostics 329 16 Integrating AI and Multiomics for Breakthroughs in Cancer Studies 349 17 Model Evaluation and Validation Strategies in Cancer Research 369 18 Multiomics Data Integration: Transforming Cancer Research 387 19 RNN Applications in Longitudinal Cancer Data Analysis 409 20 The Role of Transfer Learning in Accelerating Cancer Research 431 21 Pioneering Innovations in Healthcare and Energy: A Deep Generative AI Approach to Early Psychopathology Prediction and Adaptive Series Algorithm Management for Green Hydrogen Market Analysis 453 22 Building the Foundation: Machine Learning's Impact on Mental Health Diagnostics 475 23 Ensemble Learning Approaches to Enhance Personalized Medicine in Treatment Planning 499 24 Ensemble Learning in Psychopathology: A New Era of Predictive Analysis 519 25 Applications of AI in Early Diagnosis of Neurodevelopmental Disabilities: A Deep Learning Approach 541 26 Advancing Neuroimaging with Deep Learning: Principles, Techniques and Applications 563 27 Managing and Analyzing Large Neurological Datasets: Challenges and AI-Driven Solutions 581 28 AI-Powered Mental Healthcare: Investigating the Role of Generative Deep Learning Models in Personalized Treatment and Cognitive Behavioral Therapy 601 29 Mental Illness with Deep Learning 623 30 Psychopathology and AI in Mental Health 671 31 Generative AI Models for Mental Health Diagnosis and Therapy: A Comparative Analysis of GANs, VAEs, and Transformer-Based Approaches 687 References 705
Mihir Vakhariya and Supriya S. Patil
Bintul Huda
Suresh Bhosale and Vibha Vyas
Suresh Bhosale and Vibha Vyas
Suresh Bhosale, Vibha Vyas, Saif M.B. Al Sabti and Raid Gaib
Jayant Pawar, Kalpana Malpe, Saif M.B. Al Sabti and Raid Gaib
Sweta Colvin and Vibha Vyas
Anand Gudur, Pawar Atul Namdev, Saif M.B. Al Sabti and Raid Gaib
Asma A. Hussain, Garagate Amruta K., Saif M.B. Al Sabti and Raid Gaib
Prakash Patil and Rasika Ranjit Chafle
Anil Huddedar and K. Gavhale
Sujata Sanjay Kumbhar
N. J. Patil
Avinash Mane
Atul Bhanudas Hulwan
Anand Gudur
Sujata Raghunath Kanetkar
Rashmi Gudur
Kailas Datkhile
Ibrahim Kadriinamdar, Manisha Paliwal, Alamgir Sani, Kumari Lipi and Madhuranjan Vatsa
K. Palani, Jothikumar R., M. Nagarajan, E. Sivarajan, S. Sathya and Gouri M.S.
K. Palani, Jothikumar R., Sherin Eliyas, E. Sivarajan, M. Nagarajan and Gouri M. S.
Susi S., Mohammed Waheeduddin Hussain, Sathish Kumar M., M. Ravichandran, E. Sivarajan, M. Nagarajan and Jayendra Kumar
Durai Vasanth R., S. Varadharajan, Suganya. K., Harishchander Anandaram, Shreenidhi K.S. and B. Prameela Rani
S. Murugaanandam, N. Elamathi, Harishchander Anandaram, Shreenidhi K. S., Priya V. and B. Prameela Rani
V. Ceronmani Sharmila, M. Jenath, V. Sumitra, S. Sunithamani, J. Abanah Shirley and S. N. Lakshmi Malluvalasa
R. Prasanna, M. Jenath, D. Tharani, Lakshmi Thara R., Arumbu V. N. and Sankar Ganesh Karuppasamy
Kumud Sachdeva and Ayush Mahanta
Priya Batta and Arjun Singh
M. Jenath, V. Sumitra, V. Ceronmani Sharmila, J. Abanah Shirley, S. Sunithamani and T. Sajana
Index 707
Subject Areas: Other branches of medicine [MM]
