Advances of Machine Learning for Knowledge Mining in Electronic Health Records
Book Details
Format
Hardback or Cased Book
ISBN-10
1032526106
ISBN-13
9781032526102
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Mar 6th, 2025
Print length
270 Pages
Weight
690 grams
Product Classification:
Biomedical engineeringBiomedical engineering / Medical engineeringAutomatic control engineeringDigital and Information technology: general topicsInformation technology: general issuesReal time operating systemsSoftware EngineeringComputer architecture & logic designComputer architecture and logic designArtificial intelligenceArtificial intelligence (AI)Machine learning
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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.
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.
Get Advances of Machine Learning for Knowledge Mining in Electronic Health Records by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages.
