Data Analytics in Biomedical Engineering and Healthcare

This PDF book is become immediate popular in Science genre. Data Analytics in Biomedical Engineering and Healthcare is written by famous author Kun Chang Lee and Ready to Download in ePUB, PDF or Kindle formats. Released by Academic Press in 2020-10-18. Click Download Book button to get book file and read directly from your devices. Here is a quick description and cover image of Data Analytics in Biomedical Engineering and Healthcare book.

Data Analytics in Biomedical Engineering and Healthcare
Author :
Publisher : Academic Press
Release Date :
ISBN : 9780128193150
Pages : 292 pages
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Data Analytics in Biomedical Engineering and Healthcare by Kun Chang Lee 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


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