Innovations in Data Methodologies and Computational Algorithms for Medical Applications

Innovations in Data Methodologies and Computational Algorithms for Medical Applications

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Medicine has, until recently, been slow to adapt to information technologies and systems for many reasons, but the future lies therein.Innovations in Data Methodologies and Computational Algorithms for Medical Applications offers the most cutting-edge research in the field, offering insights into case studies and methodologies from around the world. The text details the latest developments and will serve as a vital resource to practitioners and academics alike in the burgeoning field of medical applications of technologies. As security and privacy improve, Electronic Health Records and informatics in the medical field are becoming ubiquitous, and staying abreast of the latest information can be difficult. This volume serves as a reference handbook and theoretical framework for the future of the field.In C. Cachin aamp; J. Camenisch (Eds.), Proceedings ofEurocrypt 2004 (Vol. 3027 of LNCS) (pp. ... Random Forests. Machine ... Background and Foreground Knowledge in Dynamic Ontology Construction: Viewing Text as Knowledge Maintenance. ... Home blood pressure: accuracy is independent of monitoring schedules.


Title:Innovations in Data Methodologies and Computational Algorithms for Medical Applications
Author: Gangopadhyay, Aryya
Publisher:IGI Global - 2012-03-31
ISBN-13:

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