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Machine learning and analytics in healthcare systems : principles and applications /

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Bibliographic Details
Corporate Author: EBSCOhost
Other Authors: Himani, Bansal (Editor), Balusamy, Balamurugan (Editor), Poongodi, T. (Editor), Khan KP, Firoz (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2021.
Edition:First edition.
Series:Green engineering and technology: concepts and applications
Subjects:
Machine learning.
Medical informatics.
TECHNOLOGY / Manufacturing
COMPUTERS / Data Processing / General
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • <P>Chapter 1 Data Analytics in Healthcare Systems
  • Principles, Challenges, and Applications</P><B><P>Chapter 2 </B>Systematic View and Impact of Machine Learning in Healthcare Systems</P><B><P>Chapter 3 </B>Foundation of Machine Learning-Based Data Classification Techniques for Health Care</P><B><P>Chapter 4 </B>Deep Learning for Computer-Aided Medical Diagnosis</P><B><P>Chapter 5 </B>Machine Learning Classifiers in Health Care</P><B><P>Chapter 6 </B>Machine Learning Approaches for Analysis in Healthcare Informatics</P><B><P>Chapter 7 </B>Prediction of Epidemic Disease Outbreaks, Using Machine Learning</P><B><P>Chapter 8 </B>Machine Learning-Based Case Studies for Healthcare Analytics: Electronic Health Records, Smart Health Monitoring, Disease Prediction, Precision Medicine, and Clinical Support Systems</P><B><P>Chapter 9 </B>Applications of Computational Methods and Modeling in Drug Delivery</P><B><P>Chapter 10 </B>Healthcare Data Analytics Using Business Intelligence Tool</P><B><P>Chapter 11 </B>Machine Learning-Based Data Classification Techniques in Healthcare Using Massive Online Analysis Framework</P><B><P>Chapter 12 </B>Prediction of Coronavirus (COVID-19) Disease Health Monitoring with Clinical Support System and its Objectives</P><B><P>Index</P></B>