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Big Data in Psychiatry and Neurology (Paperback)
Loot Price: R3,181
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Big Data in Psychiatry and Neurology (Paperback)
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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.
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