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Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications Pantea Keikhosrokiani
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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.
400 pages, Approx. 120 illustrations (80 in full color); Illustrations, unspecified
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 24. maijs |
| ISBN13 | 9780323919074 |
| Izdevēji | Elsevier Science & Technology |
| Lapas | 354 |
| Izmēri | 301 × 275 × 25 mm · 952 g |
| Valoda | Angļu |
| Redaktors | Keikhosrokiani, Pantea (Senior Lecturer, School of Computer Sciences, Universiti Sains Malaysia, Minden, Penang, Malaysia) |
