Medical Data Analysis and Processing using Explainable Artificial Intelligence
eBook - ePub

Medical Data Analysis and Processing using Explainable Artificial Intelligence

  1. 252 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Medical Data Analysis and Processing using Explainable Artificial Intelligence

About this book

The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical

  • Presents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science
  • Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications
  • Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data
  • Explores the concepts of natural language processing and explainable artificial intelligence (XAI) on medical data processing
  • Discusses machine learning and deep learning scalability models in healthcare systems

This text focuses on data driven analysis and processing of advanced methods and techniques with the help of explainable artificial intelligence (XAI) algorithms. It covers machine learning, Internet of Things (IoT), and deep learning algorithms based on XAI techniques for medical data analysis and processing. The text will present different dimensions of XAI based computational intelligence applications. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Medical Data Analysis and Processing using Explainable Artificial Intelligence by Om Prakash Jena, Mrutyunjaya Panda, Utku Kose, Om Prakash Jena,Mrutyunjaya Panda,Utku Kose in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. About the Editors
  9. List of Contributors
  10. Chapter 1 Explainable AI (XAI) Concepts and Theory
  11. Chapter 2 Utilizing Explainable Artificial Intelligence to Address Deep Learning in Biomedical Domain
  12. Chapter 3 Explainable Fuzzy Decision Tree for Medical Data Classification
  13. Chapter 4 Statistical Algorithm for Change Point Detection in Multivariate Time Series of Medicine Data Based on Principles of Explainable Artificial Intelligence
  14. Chapter 5 XAI and Machine Learning for Cyber Security: A Systematic Review
  15. Chapter 6 Classification and Regression Tree Modelling Approach to Predict the Number of Lymph Node Dissection among Endometrial Cancer Patients
  16. Chapter 7 Automated Brain Tumor Analysis Using Deep Learning-Based Framework
  17. Chapter 8 A Robust Framework for Prediction of Diabetes Mellitus Using Machine Learning
  18. Chapter 9 Effective Feature Extraction for Early Recognition and Classification of Triple Modality Breast Cancer Images Using Logistic Regression Algorithm
  19. Chapter 10 Machine Learning and Deep Learning Models Used to Detect Diabetic Retinopathy and Its Stages
  20. Chapter 11 Clinical Natural Language Processing Systems for Information Retrieval from Unstructured Medical Narratives
  21. Index