Data Analytics in Biomedical Engineering and Healthcare is popular PDF and ePub book, written by Kun Chang Lee in 2020-10-18, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Data Analytics in Biomedical Engineering and Healthcare can be Read Online from any device for your convenience.
Data Analytics in Biomedical Engineering and Healthcare Book PDF Summary
Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. Examines the development and application of data analytics applications in biomedical data Presents innovative classification and regression models for predicting various diseases Discusses genome structure prediction using predictive modeling Shows readers how to develop clinical decision support systems Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks
Detail Book of Data Analytics in Biomedical Engineering and Healthcare PDF
- Author : Kun Chang Lee
- Release : 18 October 2020
- Publisher : Academic Press
- ISBN : 9780128193150
- Genre : Science
- Total Page : 298 pages
- Language : English
- PDF File Size : 17,6 Mb
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