Mental and neurological disorders represent a majority of the current public health challenge. According to the National Alliance of Mental Illness, 1 in 5 U.S. adults experience mental illness each year, however only 43.3% of adults are treated for their mental illness. It is imperative that mental disorders are effectively diagnosed and treated. In order to address this gap, analysis in science, industry, and government seek to utilize big data to affect clinical outcomes and diagnoses. 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. Big Data in Psychiatry and Neurology provides an up-to-date overview of the achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer's disease & Parkinson's disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students, and clinicians implement new methods to collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients.

Book Information
ISBN 9780128228845
Author Ahmed A. Moustafa
Format Paperback
Page Count 400
Imprint Academic Press Inc
Publisher Elsevier Science Publishing Co Inc
Weight(grams) 152g