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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. 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. Machine Learning and Deep Learning technology have transformed the healthcare sector by changing the ways of deal with solving various challenges. The various facets of contribution introduced in the current era of mental healthcare practitioners are: personalized treatments and real-time monitoring, accuracy in prediction etc. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032568560
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Taschenbuch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9781032568560
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Etat : New. 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 cu. N° de réf. du vendeur 3861266195
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Paperback. Etat : new. Paperback. 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. Machine Learning and Deep Learning technology have transformed the healthcare sector by changing the ways of deal with solving various challenges. The various facets of contribution introduced in the current era of mental healthcare practitioners are: personalized treatments and real-time monitoring, accuracy in prediction etc. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032568560
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Paperback. Etat : new. Paperback. 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. Machine Learning and Deep Learning technology have transformed the healthcare sector by changing the ways of deal with solving various challenges. The various facets of contribution introduced in the current era of mental healthcare practitioners are: personalized treatments and real-time monitoring, accuracy in prediction etc. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781032568560
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