Personalized Psychiatry Big Data Analytics in Mental Health /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Passos, Ives Cavalcante (Editor, http://id.loc.gov/vocabulary/relators/edt), Mwangi, Benson (Editor, http://id.loc.gov/vocabulary/relators/edt), Kapczinski, Flávio (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Psychiatry.; Big data.; Big Data/Analytics.; Big Data.

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 l...

Table of Contents:

• 1. Big data and Machine Learning Techniques Meet Health Sciences
• 2. Major challenges and limitations of Big data analytics
• 3. A Clinical Perspective on Big Data in Mental Health
• 4. Big Data Guided Interventions: Predicting Treatment Response
• 5. The role of big data analytics in predicting suicide
• 6. Emerging Shifts in Neuroimaging Data Analysis in the Era of "Big Data"
• 7. Phenomapping: methods and measures for deconstructing diagnosis in psychiatry
• 8. How to integrate data from multiple biological layers in mental health?
• 9. Ethics in the Era of Big Data.