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1546418Big Data in Psychiatry and Neurologyhttps://www.gandhi.com.mx/big-data-in-psychiatry-and-neurology-1/phttps://gandhi.vtexassets.com/arquivos/ids/1047108/b1181d4b-1fd7-432d-9ea5-f09310718c94.jpg?v=638337264019800000https://gandhi.vtexassets.com/arquivos/ids/1045537/b1181d4b-1fd7-432d-9ea5-f09310718c94.jpg?v=63833726106650000017951994MXNAcademic PressInStock/Ebooks/<p>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., Alzheimers disease and Parkinsons 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</p>...1528550Big Data in Psychiatry and Neurology17951994https://www.gandhi.com.mx/big-data-in-psychiatry-and-neurology-1/phttps://gandhi.vtexassets.com/arquivos/ids/1047108/b1181d4b-1fd7-432d-9ea5-f09310718c94.jpg?v=638337264019800000https://gandhi.vtexassets.com/arquivos/ids/1045537/b1181d4b-1fd7-432d-9ea5-f09310718c94.jpg?v=638337261066500000InStockMXN99999DIEbook20219780128230022_W3siaWQiOiJlNGE0MDg2YS05MTZiLTQyNTktOGViNC0yODUwMDI1Y2JhNTUiLCJsaXN0UHJpY2UiOjE5OTQsImRpc2NvdW50IjoxOTksInNlbGxpbmdQcmljZSI6MTc5NSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjUtMDEtMDhUMTg6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9780128230022_<p><em>Big Data in Psychiatry and Neurology</em> 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., Alzheimers disease and Parkinsons 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.</p><p>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.</p><ul><li>Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders</li><li>Analyzes methods in using big data to treat psychiatric and neurological disorders</li><li>Describes the role machine learning can play in the analysis of big data</li><li>Demonstrates the various methods of gathering big data in medicine</li><li>Reviews how to apply big data to genetics</li></ul>(*_*)9780128230022_<p>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., Alzheimers disease and Parkinsons 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</p>...9780128230022_Elsevier Science(*_*)9780128230022_Academic Presslibro_electonico_e63e8378-837e-3166-a25b-776e1ae3a731_9780128230022;9780128230022_9780128230022InglésMéxicoAcademic Presshttps://getbook.kobo.com/koboid-prod-public/elsevierrefmonographs-epub-3d6939c5-4460-4d3e-84d9-5d10c909cb95.epub2021-06-11T00:00:00+00:00