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Big Data in Psychiatry and Neurology,

Edition 1

Editors: Edited by Ahmed Moustafa, Ph.D

Publication Date: 16 Jun 2021

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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.

Key Features

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

About the author

Edited by Ahmed Moustafa, Ph.D, School of Psychology, Faculty of Society and Design, Bond University, Gold Coast, Queensland, Australia.

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2. Big data in personalized healthcare
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3. Longitudinal data analysis: The multiple indicators growth curve model approach
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4. Challenges and solutions for big data in personalized healthcare
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5. Data linkages in epidemiology
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6. Neutrosophic rule-based classification system and its medical applications
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7. From complex to neural networks
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8. The use of Big Data in psychiatry—The role of administrative databases
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9. Predicting the emergence of novel psychoactive substances with big data
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10. Hippocampus segmentation in MR images: Multiatlas methods and deep learning methods
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11. A scalable medication intake monitoring system
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12. Evaluating cascade prediction via different embedding techniques for disease mitigation
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14. Visual neuroscience in the age of big data and artificial intelligence
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15. Application of big data and artificial intelligence approaches in diagnosis and treatment of neuropsychiatric diseases
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16. Leveraging big data to augment evidence-informed precise public health response
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17. How big data analytics is changing the face of precision medicine in women‘s health
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ISBN: 9780128228845

Page Count: 384

Retail Price :

9780124202481; 9780128001059; 9780128131763; 9780124171145; 9780128037843; 9780128122020; 9780124158047

Researchers and students in Psychiatry and Neurology designing protocols; Clinicians involved in clinical trials