Artificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

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  • Author : David D. Luxton
  • Publisher : Academic Press
  • Pages : 308 pages
  • ISBN : 9780124202481
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKArtificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care
  • Author : David D. Luxton
  • Publisher : Academic Press
  • Release : 02 October 2015
GET THIS BOOKArtificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot

Artificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care
  • Author : David D. Luxton
  • Publisher : Academic Press
  • Release : 10 September 2015
GET THIS BOOKArtificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot

Technology and Mental Health

Technology and Mental Health
  • Author : Greg M. Reger
  • Publisher : Routledge
  • Release : 13 October 2020
GET THIS BOOKTechnology and Mental Health

Technology and Mental Health provides mental health clinicians with expert, practical, clinical advice on the questions and considerations associated with the adoption of mental health technology tools in the computer age. Increasingly, clinicians want to use technology to provide clients support through smartphones and mobile applications or to reach clients in remote or rural areas. However, using these tools in practice raises many practical and ethical questions. The book explains current technological developments in therapy, including mobile apps, telemental health,

Big Data in Psychiatry and Neurology

Big Data in Psychiatry and Neurology
  • Author : Ahmed A. Moustafa
  • Publisher : Academic Press
  • Release : 24 June 2021
GET THIS BOOKBig Data in Psychiatry and Neurology

Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine

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Data Pulse
  • Author : Matthew Marcetich
  • Publisher : Unknown Publisher
  • Release : 06 April 2020
GET THIS BOOKData Pulse

For many of us, machine learning and artificial intelligence (AI) are abstract terms that have become popularized for their roles in automation and robotics. In healthcare, uses of AI emerged several decades ago and have significantly expanded to the present day. Data Pulse presents a current snapshot of uses of AI in healthcare, including essential opportunities and challenges. The discussion explores its impact at many levels of the healthcare system, from researchers and entrepreneurs to physicians and patients. With easily

Big Data and Artificial Intelligence for Healthcare Applications

Big Data and Artificial Intelligence for Healthcare Applications
  • Author : Ankur Saxena,Nicolas Brault,Shazia Rashid
  • Publisher : CRC Press
  • Release : 15 June 2021
GET THIS BOOKBig Data and Artificial Intelligence for Healthcare Applications

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. "Big Data and Artificial Intelligence for Healthcare Applications" covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early

Reinventing Clinical Decision Support

Reinventing Clinical Decision Support
  • Author : Paul Cerrato,John Halamka
  • Publisher : Taylor & Francis
  • Release : 15 January 2020
GET THIS BOOKReinventing Clinical Decision Support

This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma,

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing
  • Author : Amit Konar
  • Publisher : CRC Press
  • Release : 08 October 2018
GET THIS BOOKArtificial Intelligence and Soft Computing

With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of

Proceedings of 3rd International Conference on Computing Informatics and Networks

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  • Author : Ajith Abraham,Oscar Castillo,Deepali Virmani
  • Publisher : Springer Nature
  • Release : 02 December 2021
GET THIS BOOKProceedings of 3rd International Conference on Computing Informatics and Networks

This book is a collection of high-quality peer-reviewed research papers presented in the Third International Conference on Computing Informatics and Networks (ICCIN 2020) organized by the Department of Computer Science and Engineering (CSE), Bhagwan Parshuram Institute of Technology (BPIT), Delhi, India, during 29-30 July 2020. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of artificial

Predictive and Preventive Measures for Covid-19 Pandemic

Predictive and Preventive Measures for Covid-19 Pandemic
  • Author : Praveen Kumar Khosla,Mamta Mittal,Dolly Sharma,Lalit Mohan Goyal
  • Publisher : Springer Nature
  • Release : 22 January 2021
GET THIS BOOKPredictive and Preventive Measures for Covid-19 Pandemic

This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel

Artificial Intelligence for the Internet of Health Things

Artificial Intelligence for the Internet of Health Things
  • Author : K. Shankar,Eswaran Perumal,Deepak Gupta
  • Publisher : CRC Press
  • Release : 10 May 2021
GET THIS BOOKArtificial Intelligence for the Internet of Health Things

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and

Predictive Policing and Artificial Intelligence

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  • Author : John McDaniel,Ken Pease
  • Publisher : Routledge
  • Release : 26 February 2021
GET THIS BOOKPredictive Policing and Artificial Intelligence

This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

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  • Author : Mark Chang
  • Publisher : CRC Press
  • Release : 12 May 2020
GET THIS BOOKArtificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and

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  • Author : Ramchandra Sharad Mangrulkar,Antonis Michalas,Narendra Shekokar,Meera Narvekar,Pallavi Vijay Chavan
  • Publisher : CRC Press
  • Release : 15 August 2021
GET THIS BOOKDesign of Intelligent Applications using Machine Learning and Deep Learning Techniques

Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated – bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can