Book Your Summer Shop NowBook Your Summer Shop Now
Add Item to wish listAdd Item to wish list
Read sample

Advances of Machine Learning for Knowledge Mining in Electronic Health Records

By P. Mohamed Fathimal (Editor), T. Ganesh Kumar (Editor), J. B. Shajilin Loret (Editor), Venkataraman Lakshmi (Editor), Manish T. I. (Editor)
eBook
$233.99
By P. Mohamed Fathimal (Editor), T. Ganesh Kumar (Editor), J. B. Shajilin Loret (Editor), Venkataraman Lakshmi (Editor), Manish T. I. (Editor)
Membership Card Icon

Collect stamps to save with Rewards. 10 stamps = $5. Learn More

Formats
See All Formats & Editions
Select a store to view item availability.

Available on compatible , the free NOOK App, and in My Digital Library

NOOK App

Download NOOK app

NOOK Devices

NOOK eReaders

  • NOOK GlowLight 4 Plus
  • NOOK GlowLight 4e
  • NOOK GlowLight 4
  • NOOK GlowLight Plus 7.8"
  • NOOK GlowLight 3
  • NOOK GlowLight Plus 6"

NOOK Tablets

  • NOOK 9" Lenovo Tablet
  • NOOK 10" HD Lenovo Tablet
  • NOOK Tablet 7" & 10.1"
  • NOOK by Samsung Galaxy Tab 7.0 [Tab A and Tab 4]
  • NOOK by Samsung [Tab 4 10.1, S2 & E]

Free NOOK Reading Apps

  • NOOK for iOS
  • NOOK for Android

BN.com website

Go to your Digital Library in My Account

The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR consisting of demographics, medical history, and diagnosis, with a focus on the design and representation of structured, semi-structured, and unstructured data.

  • Explains the design of organized, semi-structured, unstructured, and irregular time series data of ele...

Categories

ComputersDatabase ManagementInternet Related Databases