Personalized Psychiatry

Download or read book Personalized Psychiatry written by Bernhard Baune and published by Academic Press. This book was released on 2019-10-16 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized Psychiatry presents the first book to explore this novel field of biological psychiatry that covers both basic science research and its translational applications. The book conceptualizes personalized psychiatry and provides state-of-the-art knowledge on biological and neuroscience methodologies, all while integrating clinical phenomenology relevant to personalized psychiatry and discussing important principles and potential models. It is essential reading for advanced students and neuroscience and psychiatry researchers who are investigating the prevention and treatment of mental disorders. - Combines neurobiology with basic science methodologies in genomics, epigenomics and transcriptomics - Demonstrates how the statistical modeling of interacting biological and clinical information could transform the future of psychiatry - Addresses fundamental questions and requirements for personalized psychiatry from a basic research and translational perspective

Download or read book Personalized Psychiatry written by Ives Cavalcante Passos and published by Springer. This book was released on 2019-02-12 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 mental healthcare providers and research laboratories are increasingly using large data sets to fulfill their mission. Briefly, big data is characterized by high volume, high velocity, variety and veracity of information, and to be useful it must be analyzed, interpreted, and acted upon. As such, focus has to shift to new analytical tools from the field of machine learning that will be critical for anyone practicing medicine, psychiatry and behavioral sciences in the 21st century. Big data analytics is gaining traction in psychiatric research, being used to provide predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Personalized Psychiatry – Big Data Analytics in Mental Health provides a unique opportunity to showcase innovative solutions tackling complex problems in mental health using big data and machine learning. It represents an interesting platform to work with key opinion leaders to document current achievements, introduce new concepts as well as project the future role of big data and machine learning in mental health.

Download or read book Personalized Psychiatry written by Flávio Kapczinski and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 mental healthcare providers and research laboratories are increasingly using large data sets to fulfill their mission. Briefly, big data is characterized by high volume, high velocity, variety and veracity of information, and to be useful it must be analyzed, interpreted, and acted upon. As such, focus has to shift to new analytical tools from the field of machine learning that will be critical for anyone practicing medicine, psychiatry and behavioral sciences in the 21st century. Big data analytics is gaining traction in psychiatric research, being used to provide predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Personalized Psychiatry – Big Data Analytics in Mental Health provides a unique opportunity to showcase innovative solutions tackling complex problems in mental health using big data and machine learning. It represents an interesting platform to work with key opinion leaders to document current achievements, introduce new concepts as well as project the future role of big data and machine learning in mental health. .

Download or read book Positive Psychiatry written by Edited by Dilip V. Jeste M.D. and published by American Psychiatric Pub. This book was released on 2015-04-28 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: While there are a number of books on positive psychology, Positive Psychiatry is unique in its biological foundation and medical rigor and is the only book designed to bring positive mental health ideas and interventions into mainstream psychiatric research, training, and clinical practice. After an overview describing the definition, history, and goals of positive psychiatry, the contributors—pioneers and thought leaders in the field—explore positive psychosocial factors, such as resilience and psychosocial growth; positive outcomes, such as recovery and well-being; psychotherapeutic and behavioral interventions, among others; and special topics, such as child and geriatric psychiatry, diverse populations, and bioethics. The book successfully brings the unique skill sets and methods of psychiatry to the larger positive health movement. Each chapter highlights key points for current clinical services, as practiced by psychiatrists, primary care doctors, and nurses, as well as those in allied health and mental health fields. These readers will find Positive Psychiatry to be immensely helpful in bringing positive mental health concepts and interventions into the clinical arena.

Download or read book Extraordinary Science and Psychiatry written by Jeffrey Poland and published by MIT Press. This book was released on 2024-04-30 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading scholars offer perspectives from the philosophy of science on the crisis in psychiatric research that exploded after the publication of DSM-5. Psychiatry and mental health research is in crisis, with tensions between psychiatry's clinical and research aims and controversies over diagnosis, treatment, and scientific constructs for studying mental disorders. At the center of these controversies is the Diagnostic and Statistical Manual of Mental Disorders (DSM), which—especially after the publication of DSM-5—many have found seriously flawed as a guide for research. This book addresses the crisis and the associated “extraordinary science” (Thomas Kuhn's term for scientific research during a state of crisis) from the perspective of philosophy of science. The goal is to help reconcile the competing claims of science and phenomenology within psychiatry and to offer new insights for the philosophy of science. The contributors discuss the epistemological origins of the current crisis, the nature of evidence in psychiatric research, and the National Institute for Mental Health's Research Domain Criteria project. They consider particular research practices in psychiatry—computational, personalized, mechanistic, and user-led—and the specific categories of schizophrenia, depressive disorder, and bipolar disorder. Finally, they examine the DSM's dubious practice of pathologizing normality. Contributors Richard P. Bentall, John Bickle, Robyn Bluhm, Rachel Cooper, Kelso Cratsley, Owen Flanagan, Michael Frank, George Graham, Ginger A. Hoffman, Harold Kincaid, Aaron Kostko, Edouard Machery, Jeffrey Poland, Claire Pouncey, Şerife Tekin, Peter Zachar

Download or read book Personalized Exposure Therapy written by Jasper A.J. Smits and published by Oxford University Press. This book was released on 2019-07-19 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidence overwhelmingly shows that exposure therapy is effective for the treatment of anxiety and related disorders. Its adoption into clinical practice has been slow, however-in part because the available one-size-fits-all manuals often leave patients and clinicians unsatisfied. Personalized Exposure Therapy provides expert guidance to clinicians on conducting exposure-based interventions in a targeted and flexible fashion. Providing detailed information on a range of strategies for maximizing clinical outcomes from exposure, this book features a case formulation approach that personalizes the timing and nature of exposure practice. Case examples, scripts, and worksheets, presented in a practical, mentor-based format for planning and enacting individual sessions, ensure that clinical procedures are readily accessible for in-session use. Personalized Exposure Therapy is appropriate for early-career and experienced clinicians alike, and will also be suitable for use in graduate courses in clinical psychology, counselling, social work, nursing and psychiatry.

Download or read book Lifestyle Psychiatry written by Douglas L. Noordsy, M.D. and published by American Psychiatric Pub. This book was released on 2019-04-08 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exercise, a healthy diet, stress management, sound sleep: Most practitioners would agree that living well can mitigate the impact of mental disorders. Yet many are unprepared to address lifestyle factors in their care of patients. Lifestyle Psychiatry seeks to instill confidence by collating and analyzing the impressive emerging body of evidence that supports the efficacy of healthy lifestyle practices -- both as the primary intervention and in conjunction with traditional treatments such as psychopharmacology or psychotherapy -- in preventing and managing psychiatric disorders. This volume examines the impact of lifestyle interventions -- from exercise, yoga, and tai chi to mindfulness and meditation, diet and nutrition, and sleep management -- on psychiatric disorders, including depression, anxiety, posttraumatic stress disorder, schizophrenia, and addiction. Readers can readily find data to support the use of specific lifestyle interventions for a patient presenting with a specific disorder. Detailed descriptions of the mechanisms of each lifestyle intervention also prepare practitioners to educate their patients on the specific neurobiological and psychological effects of these interventions to support their recovery. With chapters that focus on developing a robust therapeutic alliance and inspiring patients to assume responsibility for their own well-being, this guide provides a framework for lasting, sustainable lifestyle changes. Additionally, the book discusses the impact of the provider's lifestyle on clinical behavior and the implications of lifestyle medicine and psychiatry for health care systems and population health, offering a broader examination of the important role this new field can play in leading a sophisticated, holistic approach to optimizing wellness.