menu
{ "item_title" : "Data Analytics in Biomedical Engineering and Healthcare", "item_author" : [" Kun Chang Lee", "Sanjiban Sekhar Roy", "Pijush Samui "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/12/819/314/012819314X_b.jpg", "price_data" : { "retail_price" : "150.00", "online_price" : "150.00", "our_price" : "150.00", "club_price" : "150.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Analytics in Biomedical Engineering and Healthcare|Kun Chang Lee

Data Analytics in Biomedical Engineering and Healthcare

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9780128193143
  • ISBN-10: 012819314X
  • Publisher: Academic Press
  • Publish Date: October 2020
  • Dimensions: 9.25 x 7.5 x 0.62 inches
  • Shipping Weight: 1.14 pounds
  • Page Count: 292

Related Categories

You May Also Like...

    1

BAM Customer Reviews