9781482232110 - Healthcare Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) (25 resultados)

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Hardcover. Condición: new. Hardcover. At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients.Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a "survey-style" article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories: Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such data Advanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision supportComputer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. pp. 500.

Condición: New. Editor(s): Reddy, Chandan K.; Aggarwal, Charu C. Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. Num Pages: 760 pages, 193 black & white illustrations, 46 black & white tables. BIC Classification: MBP; UNC. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 186 x 263 x 50. Weight in Grams: 1602. . 2015. 1st Edition. Hardcover. . . . .

Condición: New. pp. 500.

Condición: New. Editor(s): Reddy, Chandan K.; Aggarwal, Charu C. Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. Num Pages: 760 pages, 193 black & white illustrations, 46 black & white tables. BIC Classification: MBP; UNC. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 186 x 263 x 50. Weight in Grams: 1602. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condición: Brand New. 758 pages. 10.25x7.25x1.75 inches. In Stock.

Hardcover. Condición: new. Hardcover. At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients.Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a "survey-style" article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories: Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such data Advanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision supportComputer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Chandan K. Reddy is an associate professor in the Department of Computer Science at Wayne State University. He received his PhD from Cornell University and MS from Michigan State University. His primary research interests are in the area.

Hardcover. Condición: Brand New. 758 pages. 10.25x7.25x1.75 inches. In Stock. This item is printed on demand.

Buch. Condición: Neu. Healthcare Data Analytics | Chandan K. Reddy (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2015 | Chapman and Hall/CRC | EAN 9781482232110 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients.Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a 'survey-style' article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories:Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such dataAdvanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analyticsApplications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision supportComputer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain.