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This book integrates the concepts of big data analytics into mental health practice and research. Mental disorders represent a public health challenge of staggering proportions. According to the most recent Global Burden of Disease study, psychiatric disorders constitute the leading cause of years lost to disability. The high morbidity and mortality related to these conditions are proportional to the potential for overall health gains if mental disorders can be more effectively diagnosed and treated. In order to fill these gaps, analysis in science, industry, and government seeks to use big data for a variety of problems, including clinical outcomes and diagnosis in psychiatry. Multiple ment...
This innovative book focuses on potential, limitations, and recommendations for the digital mental health landscape. Authors synthesize existing literature on the validity of digital health technologies, including smartphones apps, sensors, chatbots and telepsychiatry for mental health disorders. They also note that collecting real-time biological information is usually better than just collect filled-in forms, and that will also mitigate problems related to recall bias in clinical appointments. Limitations such as confidentiality, engagement and retention rates are moreover discussed. Presented in fifteen chapters, the work addresses the following questions: may smartphones and sensors prov...
Inteligência artificial, realidade virtual, big data, fenótipo digital, chatbots, aplicativos... Como não poderia deixar de ser, tudo isso tem impactado a pesquisa e a clínica na área da psiquiatria. Este livro, organizado pelos doutores Ives Cavalcante Passos e Carolina Benedetto Gallois, reúne o que há de mais atual sobre o tema, abordando os principais recursos utilizados hoje na chamada psiquiatria digital - desde a consulta on-line até as ferramentas empregadas para pesquisa, prevenção, diagnóstico, tratamento e acompanhamento dos pacientes. Discute, também, questões fundamentais, como a segurança dos dados dos pacientes, a ética na era digital e como avaliar e escolher os melhores aplicativos em saúde mental.
This book integrates the concepts of big data analytics into mental health practice and research. Mental disorders represent a public health challenge of staggering proportions. According to the most recent Global Burden of Disease study, psychiatric disorders constitute the leading cause of years lost to disability. The high morbidity and mortality related to these conditions are proportional to the potential for overall health gains if mental disorders can be more effectively diagnosed and treated. In order to fill these gaps, analysis in science, industry, and government seeks to use big data for a variety of problems, including clinical outcomes and diagnosis in psychiatry. Multiple ment...
Bipolar disorder is a chronic and debilitating mental illness affecting a significant proportion of the world's population. It is associated with significant impairments in health-related quality of life and psychosocial functioning, and has significant illness-related morbidity and heightened mortality rates due to medical comorbidities and suicide. The management of this disorder requires a complex combination of pharmacological and psychosocial interventions which can be challenging for clinicians. Written by world experts in the field of bipolar disorder, The Treatment of Bipolar Disorder: Integrative Clinical Strategies and Future Directions provides readers with a concise and comprehen...
This book presents the ‘state of the art’ of biomarkers research in neuropsychiatric conditions, from dementia to eating disorders, as well as providing methodological, practical and ethical issues related to the development of biomarkers. Biomarkers have revolutionized clinical research and practice in most fields of medicine, but psychiatry has lagged behind. However, in the last decade, there has been a growing expectation that biomarkers will advance and, ultimately, reframe psychiatry research and practice. Biomarkers might inform about diagnosis, therapeutics, prognosis, contributing to a ‘personalized medicine’. Understanding their meaning, possibilities and limitations will help clinicians, researchers and students in the related areas navigate and excel in the challenging and ever changing field of neuropsychiatric disorders.
Increasingly, technology, the Internet and social media are playing a major part in our lives. What should we think about the ethical issues that arise, such as the changing role of intelligent machines in this Information Age? The impact of technology upon society is a perennial question, but the power of computing and artificial intelligence has ratcheted up the ethical implications of this relationship. It merits careful consideration. Ethics in the AI, Technology, and Information Age brings together a cohort of international scholars to explore the ethical ramifications of the latest technologies and their effects on our lives. This it does in three parts: (1) theoretical considerations,...
This book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in São João Del-Rei, Brazil, in September 2019. The 17 full papers and 3 short papers presented have been thoroughly reviewed and selected from 45 submissions. The papers are organized in topical sections: artificial intelligence, machine learning, and related topics; complex systems and complex networks; computational neuroscience of learning and memory; neural signal processing; software and hardware implementations in neuroscience; brain-machine interfaces and neurostimulation; and seizure prediction.
An invaluable guide to psychiatric presentation, diagnosis and treatment in a primary care setting.