Innovations in Data Methodologies and Computational Algorithms for Medical Applications

Innovations in Data Methodologies and Computational Algorithms for Medical Applications

Release Date: March, 2012|Copyright: © 2012 |Pages: 353
DOI: 10.4018/978-1-4666-0282-3
ISBN13: 9781466602823|ISBN10: 1466602821|EISBN13: 9781466602830
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Bioinformatics
  • Clinical Informatics
  • E-Health
  • Electronic Health Records
  • eMix
  • Health informatics law
  • Health Information Exchange
  • Health information management
  • Hospital information system
  • Personal health record
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Editor/Author Biographies
Aryya Gangopadhyay is a professor and the chair of the department information systems at University of Maryland Baltimore County (UMBC). Dr. Gangopadhyay has a PhD degree in computer information systems from Rutgers University. He has published numerous peer-reviewed articles on privacy preserving data mining, data mining in medicine, data stream mining and navigating multi-dimensional databases. Dr. Gangopadhyay He has also co-authored and edited six books and he has received funding from NSF, US Department of Education, state and government agencies and private industries.
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