Handbook of research on data science for effective healthcare practice and administration

Elham Akhond Zadeh Noughabi (University of Calgary, Canada), Bijan Raahemi (University of Ottawa, Canada), Amir Albadvi (Tarbiat Modares University, Iran), Behrouz H. Far (University of Calgary, Canada), editors

"This book is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics"--Provided by publisher

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Year of publication:	[2017]
Other Persons:	Noughabi, Elham Akhond Zadeh (ed.) ; Raahemi, Bijan (ed.) ; Albadvi, Amir (ed.) ; Far, Behrouz (ed.)
Publisher:	Hershey, Pennsylvania : IGI Global

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Extent:	1 Online-Ressource (xxviii, 545 Seiten)
Series:	Advances in healthcare information systems and administration (AHISA) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web Section 1. Mathematical techniques and operation research. Chapter 1. Benchmarking of the maintenance service in health care organizations ; Chapter 2. Optimization of maintenance in critical equipment in neonatology ; Chapter 3. Applications of operations research in production and distribution management of pharmaceutical products ; Chapter 4. A simulation model for resource balancing in healthcare systems ; Chapter 5. The applications of simulation modeling in emergency departments: a review ; Chapter 6. Analyzing iterval systems of human T-Cell lymphotropic virus type I infection of CD4+ ; Chapter 7. Global dynamics of an immunosuppressive infection model based on a geometric approach T-Cells -- Section 2. Statistical analysis techniques. Chapter 8. Strategic analytics to drive provincial dialysis capacity planning: the case of Ontario renal ; Chapter 9. Non-parametric statistical analysis of rare events in healthcare: case of histological outcome of kidney transplantation network ; Chapter 10. Regression-based methods of phase-I monitoring surgical performance using risk-adjusted charts: an overview -- Section 3. Machine learning and data mining. Chapter 11. Machine learning applications in cancer therapy assessment and implications on clinical practice ; Chapter 12. Application of data mining techniques in clinical decision making: a literature review and classification ; Chapter 13. New features extracted from renal stone NCCT images to predict retreatment after shock wave lithotripsy (SWL) ; Chapter 14. Applications of image processing in laparoscopic surgeries: an overview -- Section 4. Big data. Chapter 15. Leveraging applications of data mining in healthcare using big data analytics: an overview ; Chapter 16. Overview of big data in healthcare -- Section 5. Other topics in data science. Chapter 17. Notifiable disease databases for client management and surveillance ; Chapter 18. Brain-machine interface: human-computer interaction ; Chapter 19. A case-based-reasoning system for feature selection and diagnosing asthma Also available in print.
ISBN:	1-5225-2515-7 ; 978-1-5225-2516-5 ; 978-1-5225-2515-8
Other identifiers:	10.4018/978-1-5225-2515-8 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012392847