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Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI)

The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as w...

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Bibliographic Details
Other Authors: Khamparia, Aditya (Editor), Gupta, Deepak (Editor), Khanna, Ashish (Editor), Balas, Valentina E. (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2022, 2022
Edition:1st ed. 2022
Series:Intelligent Systems Reference Library
Subjects:
Image Processing / Digital Techniques
Computer Vision
Biomedical Engineering
Computational Intelligence
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition And Graphics
Biomedical Engineering And Bioengineering
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Optimal Boosting Label Weighting Extreme Learning Machine for Mental Disorder Prediction and Classification
  • Modeling of Explainable Artificial Intelligence with Correlation based Feature Selection Approach for Biomedical Data Analysis
  • Explainable machine learning model for diagnosis of Parkinson disorder
  • Explainable Artificial Intelligence with Metaheuristic Feature Selection Technique for Biomedical Data Classification
  • Explainable AI in Neural Networks using Shapley Values
  • Design of Multimodal Fusion based Deep Learning Approach for COVID-19 Diagnosis using Chest X-Ray Images

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