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eBay-Artikelnr.:285000574154
Artikelmerkmale
- Artikelzustand
- Book Title
- Healthcare Data Analytics
- Publication Date
- 2015-06-23
- ISBN
- 9781482232110
- Publication Name
- Healthcare Data Analytics
- Item Length
- 10.2in
- Publisher
- CRC Press LLC
- Series
- Chapman and Hall/Crc Data Mining and Knowledge Discovery Ser.
- Publication Year
- 2015
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.6in
- Item Width
- 7.1in
- Item Weight
- 51.4 Oz
- Number of Pages
- 760 Pages
Über dieses Produkt
Product Information
Supplying a comprehensive overview of healthcare analytics research, Healthcare Data Analytics provides an 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, it sheds light on the computational challenges in the field of medical informatics.
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1482232111
ISBN-13
9781482232110
eBay Product ID (ePID)
211782514
Product Key Features
Publication Name
Healthcare Data Analytics
Format
Hardcover
Language
English
Series
Chapman and Hall/Crc Data Mining and Knowledge Discovery Ser.
Publication Year
2015
Type
Textbook
Number of Pages
760 Pages
Dimensions
Item Length
10.2in
Item Height
1.6in
Item Width
7.1in
Item Weight
51.4 Oz
Additional Product Features
Series Volume Number
36
Lc Classification Number
Ra409
Reviews
"Anyone with experience in data analytics who is coming into the field of healthcare should make time to read this book ..." --Computing Reviews "... an outstanding book that contains a resourceful introduction to fundamental knowledge in data sources and basic analysis, as well as a presentation of updated research with respect to data analytic methods and applications in healthcare practice. The book balances the various levels of detail to meet the needs of researchers and practitioners with diverse backgrounds and interests. ... a highly recommended book for those who wish to explore the healthcare data analytics domain." --Journal of Biomedical Informatics, 58, 2015, "... an outstanding book that contains a resourceful introduction to fundamental knowledge in data sources and basic analysis, as well as a presentation of updated research with respect to data analytic methods and applications in healthcare practice. The book balances the various levels of detail to meet the needs of researchers and practitioners with diverse backgrounds and interests. ... a highly recommended book for those who wish to explore the healthcare data analytics domain." --Journal of Biomedical Informatics, 58, 2015, "Anyone with experience in data analytics who is coming into the field of healthcare should make time to read this book ..." --Computing Reviews "... an outstanding book that contains a resourceful introduction to fundamental knowledge in data sources and basic analysis, as well as a presentation of updated research with respect to data analytic methods and applications in healthcare practice. The book balances the various levels of detail to meet the needs of researchers and practitioners with diverse backgrounds and interests. ... a highly recommended book for those who wish to explore the healthcare data analytics domain." --Journal of Biomedical Informatics, 58, 2015 "The volume Healthcare Data Analytics by Reddy and Aggarwal is more technical and gives a comprehensive introduction to fundamental principles, algorithms, and applications of health data acquisition, processing, and analysis. It starts with a survey on electronic health records (EHR), a central instrument for collecting heath data and putting hese data into context. The next chapters present biomedical image data, sensor data, genomic data, and the processing of clinical text by natural language processing (NLP). Further relevant sources of health data are the biomedical literature and social media. Chapter 10 is on clinical prediction models and offers the classical biostatistical toolbox. Over the next three chapters, more complex models based on longitudinal, spatial, and high-dimensional data are discussed. The presentation uses the machine-learning perspective but offers many references from the biostatistical literature. Chapter 14 discusses information retrieval for healthcare . Its overall goal is to find content which meets information needs. The interplay of two processes determines the success of information retrieval: Indexing assigns metadata to content items, retrieval produces content items based on the user's query. Evaluationstrategies for these processes are also discussed. My favoritepart of the book is chapter 15 privacy-preserving data publishing methods in healthcare ." --Ulrich Mansmann, Biometrics , December 2017, "Anyone with experience in data analytics who is coming into the field of healthcare should make time to read this book ..." --Computing Reviews "... an outstanding book that contains a resourceful introduction to fundamental knowledge in data sources and basic analysis, as well as a presentation of updated research with respect to data analytic methods and applications in healthcare practice. The book balances the various levels of detail to meet the needs of researchers and practitioners with diverse backgrounds and interests. ... a highly recommended book for those who wish to explore the healthcare data analytics domain." --Journal of Biomedical Informatics, 58, 2015 "The volume Healthcare Data Analytics by Reddy and Aggarwal is more technical and gives a comprehensive introduction to fundamental principles, algorithms, and applications of health data acquisition, processing, and analysis. It starts with a survey on electronic health records (EHR), a central instrument for collecting heath data and putting hese data into context. The next chapters present biomedical image data, sensor data, genomic data, and the processing of clinical text by natural language processing (NLP). Further relevant sources of health data are the biomedical literature and social media. Chapter 10 is on clinical prediction models and offers the classical biostatistical toolbox. Over the next three chapters, more complex models based on longitudinal, spatial, and high-dimensional data are discussed. The presentation uses the machine-learning perspective but offers many references from the biostatistical literature. Chapter 14 discusses information retrieval for healthcare . Its overall goal is to find content which meets information needs. The interplay of two processes determines the success of information retrieval: Indexing assigns metadata to content items, retrieval produces content items based on the user's query. Evaluat
Table of Content
Healthcare Data Sources and Basic Analytics. Advanced Data Analytics For Healthcare. Applications and Practical Systems for Healthcare .
Copyright Date
2015
Topic
Programming / Games, Industries / Service, Databases / Data Mining, Statistics
Lccn
2015-000574
Dewey Decimal
362.1068
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Business & Economics
Artikelbeschreibung des Verkäufers
Der Verkäufer ist für dieses Angebot verantwortlich.
eBay-Artikelnr.:285000574154
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