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"item_title" : "Advances of Machine Learning for Knowledge Mining in Electronic Health Records",
"item_author" : [" P. Mohamed Fathimal", "T. Ganesh Kumar", "J. B. Shajilin Loret "],
"item_description" : "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.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781032527819
- ISBN-10: 1032527811
- Publisher: CRC Press
- Publish Date: June 2026
- Dimensions: 9.21 x 6.14 x 0.6 inches
- Shipping Weight: 0.89 pounds
- Page Count: 270
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