Big Data In Psychiatry And Neurology

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Big Data In Psychiatry And Neurology

Author : Ahmed A. Moustafa
ISBN : 9780128230022
Genre : Medical
File Size : 35.47 MB
Format : PDF, Kindle
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Big Data in Psychiatry and Neurology provides an up-to-date overview of 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 and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for 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. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing 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. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics
Category: Medical
Big Data in Psychiatry and Neurology
Language: en
Pages: 384
Authors: Ahmed A. Moustafa
Categories: Medical
Type: BOOK - Published: 2021-06-24 - Publisher: Academic Press

Big Data in Psychiatry and Neurology provides an up-to-date overview of 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 and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help
Personalized Psychiatry
Language: en
Pages: 180
Authors: Ives Cavalcante Passos, Benson Mwangi, Flávio Kapczinski
Categories: Medical
Type: BOOK - Published: 2019-02-22 - Publisher: Springer

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
Intelligent Methods and Big Data in Industrial Applications
Language: en
Pages: 376
Authors: Robert Bembenik, Łukasz Skonieczny, Grzegorz Protaziuk, Marzena Kryszkiewicz, Henryk Rybinski
Categories: Computers
Type: BOOK - Published: 2018-05-18 - Publisher: Springer

The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new
Compulsory Interventions in Psychiatry: an Overview on the Current Situation and Recommendations for Prevention and Adequate Use
Language: en
Pages:
Authors: Christian Huber, Andres Ricardo Schneeberger
Categories: Medical
Type: BOOK - Published: 2021-02-24 - Publisher: Frontiers Media SA

Books about Compulsory Interventions in Psychiatry: an Overview on the Current Situation and Recommendations for Prevention and Adequate Use
Big Data in Multimodal Medical Imaging
Language: en
Pages: 341
Authors: Ayman El-Baz, Jasjit S. Suri
Categories: Computers
Type: BOOK - Published: 2019-11-06 - Publisher: CRC Press

There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art