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Big Data Analytics for Healthcare
Datasets, Techniques, Life Cycles, Management, and Applications
Pantea Keikhosrokiani
Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work.
- Presents theories, methods and approaches in which data analytic techniques are used for medical data
- Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases
- Discusses social, behavioral, and medical fake news analytics for medical information systems
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