Personalized Psychiatry

2019-10-16 Medical

Author : Bernhard Baune
Release : 2019-10-16
Genre : Medical
Kind : eBook
Book Rating : 772/5 ( reviews)

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Book Synopsis Personalized Psychiatry by : Bernhard Baune

Download or read book Personalized Psychiatry written by Bernhard Baune. This book was released on 2019-10-16. 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

Personalized Psychiatry

2019-02-12 Medical

Author : Ives Cavalcante Passos
Release : 2019-02-12
Genre : Medical
Kind : eBook
Book Rating : 530/5 ( reviews)

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Book Synopsis Personalized Psychiatry by : Ives Cavalcante Passos

Download or read book Personalized Psychiatry written by Ives Cavalcante Passos. This book was released on 2019-02-12. 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.

Personalized Psychiatry

2019 HEALTH & FITNESS

Author : Flávio Kapczinski
Release : 2019
Genre : HEALTH & FITNESS
Kind : eBook
Book Rating : 549/5 ( reviews)

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Book Synopsis Personalized Psychiatry by : Flávio Kapczinski

Download or read book Personalized Psychiatry written by Flávio Kapczinski. This book was released on 2019. 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. .

Advancing Healthcare Through Personalized Medicine

2021-09-27 Medical

Author : Priya Hays
Release : 2021-09-27
Genre : Medical
Kind : eBook
Book Rating : 004/5 ( reviews)

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Book Synopsis Advancing Healthcare Through Personalized Medicine by : Priya Hays

Download or read book Advancing Healthcare Through Personalized Medicine written by Priya Hays. This book was released on 2021-09-27. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unique perspective on the biomedical and societal implications of personalized medicine and how it helps to mitigate the healthcare crisis and rein in ever-growing expenditure. It introduces the reader to the underlying concepts at the heart of personalized medicine. An innovative second edition, this book functions as an update to the successful first edition to include new, state-of-the-art information and advancements in the fast-paced field of personalized medicine. Chapters examine pharmacogenomics, targeted therapies, individualized diagnosis and treatment, and cancer immunotherapies. The book also features an essential discussion on how the advent of genomic technologies gives clinicians the capability to predict and diagnose disease more efficiently and offers a detailed up-to-date compilation of clinical trials in cancer leading to breakthrough therapies. The book also addresses the impact of Big Data on personalized medicine and the newfound applications of digital health and artificial intelligence. A work that advocates for a patient-centered approach, Advancing Healthcare Through Personalized Medicine, Second Edition is an invaluable text for clinicians, healthcare providers, and patients.

Precision Psychiatry

2021-10-15 Medical

Author : Leanne M. Williams, Ph.D.
Release : 2021-10-15
Genre : Medical
Kind : eBook
Book Rating : 583/5 ( reviews)

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Book Synopsis Precision Psychiatry by : Leanne M. Williams, Ph.D.

Download or read book Precision Psychiatry written by Leanne M. Williams, Ph.D.. This book was released on 2021-10-15. Available in PDF, EPUB and Kindle. Book excerpt: Precision psychiatry, as outlined in this groundbreaking book, presents a new path forward. By integrating findings from basic and clinical neuroscience, clinical practice, and population-level data, the field seeks to develop therapeutic approaches tailored for specific individuals with a specific constellation of health issues, characteristics, strengths, and symptoms.

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