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. Discusses longitudinal big data and risk factors of the development of psychiatric disordersAnalyzes methods in using big data to treat psychiatric and neurological disordersDescribes the role machine learning can play in the analysis of big dataDemonstrates the various methods of gathering big data in medicineReviews how to apply big data to genetics INDICE: 1. The need for big data in neurology and psychiatry2. Methods of gathering big data in medicine3. Longitudinal big data and risk factors of the development of psychiatric disorders4. The analysis of big data: the role of machine learning5. A big data approach to understanding old-age disorders6. Using big data methods to treat mood disorders7. Big data and managing different drug addictions8. How can big data aid in the treatment of neurological disorders9. Examples of success of big data in medicine10. The interdisciplinary nature of big data: the marriage of medicine and analytics11. Applying big data to genetics12. Big Data and Precision medicine
- ISBN: 978-0-12-822884-5
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 400
- Fecha Publicación: 01/05/2021
- Nº Volúmenes: 1
- Idioma: Inglés