Personalized Psychiatry Big Data Analytics in Mental Health
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 diso
- PDF / 3,413,601 Bytes
- 190 Pages / 439.42 x 683.15 pts Page_size
- 95 Downloads / 198 Views
123
Personalized Psychiatry
Ives Cavalcante Passos • Benson Mwangi Flávio Kapczinski Editors
Personalized Psychiatry Big Data Analytics in Mental Health
123
Editors Ives Cavalcante Passos Laboratory of Molecular Psychiatry Hospital de Clinicas de Porto Alegre Porto Alegre, Brazil Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento Universidade Federal do Rio Grande do Sul Porto Alegre, Brazil
Benson Mwangi UT Center of Excellence on Mood Disorders Department of Psychiatry and Behavioral Sciences The University of Texas Health Science Center at Houston McGovern Medical School Houston, TX, USA
Flávio Kapczinski Department of Psychiatry and Behavioural Neurosciences McMaster University Hamilton, ON, Canada
ISBN 978-3-030-03552-5 ISBN 978-3-030-03553-2 (eBook) https://doi.org/10.1007/978-3-030-03553-2 Library of Congress Control Number: 2018968426 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Foreword
Big Data Is Watching You These are exciting times in the history of psychiatry for a number of reasons. First and foremost, with mapping of the brain and functioning of various parts, it is getting closer to our understanding of cognitions and emotions. Both researchers and clinicians are beginning to understand the role of genome and psychopharmacogenomics is beginning to guide prescription patterns of psychiatric diseases. Trials are under way to indicate which of our patients are fast metabolisers and which are slow metabolisers so that targeted doses of medication can be used in gaining the optimum effect. At one level, psychiatry has always been personalised because the patients sitting in front of us even with similar sympto
Data Loading...
