Data-Driven Analytics for Healthcare
eBook - ePub

Data-Driven Analytics for Healthcare

Artificial Intelligence and Machine Learning for Medical Diagnostics

  1. 290 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data-Driven Analytics for Healthcare

Artificial Intelligence and Machine Learning for Medical Diagnostics

About this book

The new book highlights the application of artificial intelligence, machine learning, and deep learning techniques to diagnose medical problems. General predictive analysis methods are explained in disease detection applications along with machine learning techniques for the implementation of predictive analysis methods. The book covers object detection approaches for diseases such as pneumonia, application of monitoring and tracking the coronavirus disease, various endodontic applications for handling diagnostic abnormalities using deep learning methods, applications of healthcare for human activity recognition, and more.

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Yes, you can access Data-Driven Analytics for Healthcare by Meghna Sharma,Priyanka Vashisht,A. V. Senthil Kumar,Chitra Singh,Abdelmalek Amine in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Apple Academic Press
Year
2025
eBook ISBN
9781040229507
Edition
0
Topic
Computer Science
Subtopic
Data Processing
Index
Computer Science

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. About the Editors
  6. Contents
  7. Contributors
  8. Preface
  9. Introduction
  10. 1. Predictive and Descriptive Analytics in Healthcare
  11. 2. Biomimetics and Mind-Machine Interface: The Human Brain as a Quantum Computer
  12. 3. The Inevitable Artificial Intelligence Revolution in Healthcare
  13. 4. Object Detection Approach for Pneumonia Detection Using X-Ray Images
  14. 5. Corona Tracker: An Application for Monitoring and Tracking the Corona Disease
  15. 6. Investigation of Diagnosing Irregularities in Endodontic Applications Using Deep Learning Methods
  16. 7. Teknomoā€“Fernandez Kernelized Discriminant Analysis-Based Connectionist Deep Multilayer Perceptive Neural Learning for Human Activity Recognition
  17. 8. Transforming Healthcare with AI: An Adequate Method for Diabetes Prediction Using Machine Learning Techniques
  18. 9. A Survey on Artificial Intelligence and Machine Learning Approaches for Medical Data Authentication
  19. 10. Data-Driven Analytics for Healthcare: Artificial Intelligence and Machine Learning for Medical Diagnostics
  20. 11. M-Blockchain: A Futuristic Approach for Healthcare
  21. 12. Blockchain in Healthcare: Evolution, Applications, and Challenges
  22. Index