{"product_id":"psychopathology-early-prediction-and-classification-a-deep-generative-ai-approach-hardback-9781394336739","title":"Psychopathology Early Prediction and Classification; A Deep Generative AI Approach (Hardback) 9781394336739","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003ePsychopathology Early Prediction and Classification\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Deep Generative AI Approach\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAbhishek Kumar (Edited by), A Kumar (Author), Pramod Singh Rathore (Edited by), Sachin Ahuja (Edited by), Pankaj Rahi (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394336739, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 2 July 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e784 pages\u003cbr\u003e22.9 x 15.2 x 4.5 cm, 1.211 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eUnlock 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.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eAdvancing Psychopathology Diagnosis and Treatment: The Power of Ensemble Learning\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xxvii\u003c\/p\u003e \u003cp\u003e1 Assessment of Well-Being Among Undergraduate Students Using PERMA+ Model 1\u003cbr\u003e\u003ci\u003eMihir Vakhariya and Supriya S. Patil\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Deep Generative AI for Psychopathology Classification and Children's Handwriting Recognition 25\u003cbr\u003e\u003ci\u003eBintul Huda\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 AI-Driven Drug Discovery and Personalized Medicine in Cancer 47\u003cbr\u003e\u003ci\u003eSuresh Bhosale and Vibha Vyas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Integration of Multiomics Data for Precision Cancer Research 67\u003cbr\u003e\u003ci\u003eSuresh Bhosale and Vibha Vyas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Leveraging RNNs for Cancer Time-Series Data Analysis 89\u003cbr\u003e\u003ci\u003eSuresh Bhosale, Vibha Vyas, Saif M.B. Al Sabti and Raid Gaib\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Designing Nanobots for Targeted Drug Delivery and the Application of Nanotechnology in Modern Medical Advancements 109\u003cbr\u003e\u003ci\u003eJayant Pawar, Kalpana Malpe, Saif M.B. Al Sabti and Raid Gaib\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Evaluating Precision of Artificial Intelligence–Driven Robotic Assistants in Complex Surgeries within Robotic Surgery Healthcare Advancements 165\u003cbr\u003e\u003ci\u003eSweta Colvin and Vibha Vyas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Enhancing Cancer Diagnosis through Artificial Intelligence–Assisted Histopathology in Digital Pathology Applications for Healthcare Management 191\u003cbr\u003e\u003ci\u003eAnand Gudur, Pawar Atul Namdev, Saif M.B. Al Sabti and Raid Gaib\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Developing Smart Hydrogels for Wound Care and Drug Delivery Applications with Hydrogel Technology Advancements in Healthcare Systems 215\u003cbr\u003e\u003ci\u003eAsma A. Hussain, Garagate Amruta K., Saif M.B. Al Sabti and Raid Gaib\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 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\u003cbr\u003e\u003ci\u003ePrakash Patil and Rasika Ranjit Chafle\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 AI in Chronic Kidney Disease: Monitoring, Prediction, and Prevention How AI Helps Track Kidney Function, Predict Progression, and Optimize Dialysis Treatments 267\u003cbr\u003e\u003ci\u003eAnil Huddedar and K. Gavhale\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Advanced Survival Analysis for Cancer Prognostics Using AI 289\u003cbr\u003e\u003ci\u003eSujata Sanjay Kumbhar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 AI-Driven Innovations in Cancer Screening and Detection 309\u003cbr\u003e\u003ci\u003eN. J. Patil\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Exploring Transfer Learning for Improved Cancer Diagnostics 329\u003cbr\u003e\u003ci\u003eAvinash Mane\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Integrating AI and Multiomics for Breakthroughs in Cancer Studies 349\u003cbr\u003e\u003ci\u003eAtul Bhanudas Hulwan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 Model Evaluation and Validation Strategies in Cancer Research 369\u003cbr\u003e\u003ci\u003eAnand Gudur\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 Multiomics Data Integration: Transforming Cancer Research 387\u003cbr\u003e\u003ci\u003eSujata Raghunath Kanetkar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19 RNN Applications in Longitudinal Cancer Data Analysis 409\u003cbr\u003e\u003ci\u003eRashmi Gudur\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20 The Role of Transfer Learning in Accelerating Cancer Research 431\u003cbr\u003e\u003ci\u003eKailas Datkhile\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21 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\u003cbr\u003e\u003ci\u003eIbrahim Kadriinamdar, Manisha Paliwal, Alamgir Sani, Kumari Lipi and Madhuranjan Vatsa\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22 Building the Foundation: Machine Learning's Impact on Mental Health Diagnostics 475\u003cbr\u003e\u003ci\u003eK. Palani, Jothikumar R., M. Nagarajan, E. Sivarajan, S. Sathya and Gouri M.S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23 Ensemble Learning Approaches to Enhance Personalized Medicine in Treatment Planning 499\u003cbr\u003e\u003ci\u003eK. Palani, Jothikumar R., Sherin Eliyas, E. Sivarajan, M. Nagarajan and Gouri M. S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24 Ensemble Learning in Psychopathology: A New Era of Predictive Analysis 519\u003cbr\u003e\u003ci\u003eSusi S., Mohammed Waheeduddin Hussain, Sathish Kumar M., M. Ravichandran, E. Sivarajan, M. Nagarajan and\u003c\/i\u003e Jayendra Kumar\u003c\/p\u003e \u003cp\u003e25 Applications of AI in Early Diagnosis of Neurodevelopmental Disabilities: A Deep Learning Approach 541\u003cbr\u003e\u003ci\u003eDurai Vasanth R., S. Varadharajan, Suganya. K., Harishchander Anandaram, Shreenidhi K.S. and B. Prameela\u003c\/i\u003e Rani\u003c\/p\u003e \u003cp\u003e26 Advancing Neuroimaging with Deep Learning: Principles, Techniques and Applications 563\u003cbr\u003e\u003ci\u003eS. Murugaanandam, N. Elamathi, Harishchander Anandaram, Shreenidhi K. S., Priya V. and B. Prameela Rani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e27 Managing and Analyzing Large Neurological Datasets: Challenges and AI-Driven Solutions 581\u003cbr\u003e\u003ci\u003eV. Ceronmani Sharmila, M. Jenath, V. Sumitra, S. Sunithamani, J. Abanah Shirley and S. N. Lakshmi Malluvalasa\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e28 AI-Powered Mental Healthcare: Investigating the Role of Generative Deep Learning Models in Personalized Treatment and Cognitive Behavioral Therapy 601\u003cbr\u003e\u003ci\u003eR. Prasanna, M. Jenath, D. Tharani, Lakshmi Thara R., Arumbu V. N. and Sankar Ganesh Karuppasamy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e29 Mental Illness with Deep Learning 623\u003cbr\u003e\u003ci\u003eKumud Sachdeva and Ayush Mahanta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e30 Psychopathology and AI in Mental Health 671\u003cbr\u003e\u003ci\u003ePriya Batta and Arjun Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e31 Generative AI Models for Mental Health Diagnosis and Therapy: A Comparative Analysis of GANs, VAEs, and Transformer-Based Approaches 687\u003cbr\u003e\u003ci\u003eM. Jenath, V. Sumitra, V. Ceronmani Sharmila, J. Abanah Shirley, S. Sunithamani and T. Sajana\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReferences 705\u003cbr\u003eIndex 707\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Other branches of medicine [\u003ca title=\"See our other books on Other branches of medicine\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Other%20branches%20of%20medicine%20%5BMM%5D%22\"\u003eMM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433818321176,"sku":"9781394336739","price":183.26,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394336739.jpg?v=1784853942","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/psychopathology-early-prediction-and-classification-a-deep-generative-ai-approach-hardback-9781394336739","provider":"Freshly Printed Books","version":"1.0","type":"link"}