Healthcare data analytics / [edited by] Chandan K. Reddy and Charu C. Aggarwal.
Material type:
TextSeries: Chapman & Hall/CRC data mining and knowledge discovery seriesPublication details: Boca Raton : CRC Press, ©2015.Description: xxviii, 724 p. : illustrations (some color) ; 27 cmISBN: - 9781482232110 (hardback : acidfree paper)
- 000SB:610 23 R313
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SB:610 R313 (Browse shelf(Opens below)) | Available | 137247 |
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| 000SB:610 P978 Practical statistics in health and medical work | 000SB:610 P978 Practical statistics in health and medical work | 000SB:610 R236 Cross-over experiments | 000SB:610 R313 Healthcare data analytics / | 000SB:610 R335 Biomedical statistics with computing | 000SB:610 R577 Basic biostatistics in medicine and epidemiology | 000SB:610 R833 Applied biostatistics for the health sciences |
Includes bibliographical references and index.
1. An introduction to healthcare data analytics / Chandan K. Reddy and Charu C. Aggarwal --
2. Electronic health records : a survey / Rajiur Rahman and Chandan K. Reddy --
3. Biomedical image analysis / Dirk Padfield, Paulo Mendonca, and Sandeep Gupta --
4. Mining of sensor data in healthcare : a survey / Daby Sow, Kiran K. Turaga, Deepak S. Turaga, and Michael Schmidt --
5. Biomedical signal analysis / Abhijit Patil, Rajesh Langoju, Suresh Joel, Bhushan D. Patil, and Sahika Genc --
6. Genomic data analysis for personalized medicine / Juan Cui --
7. Natural language processing and data mining for clinical text / Kalpana Raja and Siddhartha R Jonnalagadda --
8. Mining the biomedical literature / Claudiu Mihaila, Riza Batista-Navarro, Noha Alnazzawi, Georgios
Kontonatsios, ioannis korkontzelos, rafal rak, paul thompson, and sophia ananiadou --
9. Socialmedia analytics for healthcare / Alexander Kotov --
10. A review of clinical prediction models / Chandan K. Reddy and Yan Li --
11. Temporal data mining for healthcare data / Iyad Batal --
12. Visual analytics for healthcare / David Gotz, Jesus Caban, and Annie T. Chen --
13. Predictivemodels for integrating clinical and genomic data / Sanjoy Dey, Rohit Gupta, Michael Steinbach, and Vipin Kumar --
14. Information retrieval for healthcare / William R. Hersh --
15. Privacy-preserving data publishing methods in healthcare / Yubin Park and Joydeep Ghosh --
16. Data analytics for pervasive health / Giovanni Acampora, Diane J. Cook, Parisa Rashidi, and Athanasios V. Vasilakos --
17. Fraud detection in healthcare / Varun Chandola, Jack Schryver, and Sreenivas Sukumar --
18. Data analytics for pharmaceutical discoveries / Shobeir Fakhraei, Eberechukwu Onukwugha, and Lise Getoor --
19. Clinical decision support systems / Martin Alther and Chandan K. Reddy --
20. Computer assisted medical image analysis systems / Shu Liao, Shipeng Yu, Matthias Wolf, Gerardo Hermosillo, Yiqiang Zhan, Yoshihisa Shinagawa, Zhigang Peng, Xiang Sean Zhou, Luca Bogoni, and Marcos Salganicoff --
21. Mobile imaging and analytics for biomedical data / Stephan M. Jonas and Thomas M. Deserno.
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.
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