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Can I read Big Data Analytics in Bioinformatics and Healthcare on EtoBox?
Big Data Analytics in Bioinformatics and Healthcare by Wang, Baoying (editor);Li, Ruowang (editor);Perrizo, William (editor) is a nonfiction available to read on EtoBox.
What is Big Data Analytics in Bioinformatics and Healthcare about?
As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.
Who reads Big Data Analytics in Bioinformatics and Healthcare?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Wang, Baoying (editor);Li, Ruowang (editor);Perrizo, William (editor)
- Publisher
- Medical Information Science Reference, an imprint of IGI Global
- Published
- 2015
- Language
- EN
- ISBN
- 9781466666122
- Category
- nonfiction
- Subjects
- Medical, Science, Biology
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