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Explainable Artificial Intelligence in Medical Decision Support Systems.
- Format:
- Book
- Author/Creator:
- Imoize, Agbotiname Lucky.
- Series:
- Healthcare Technologies
- Language:
- English
- Subjects (All):
- Medical informatics.
- Artificial intelligence--Medical applications.
- Artificial intelligence.
- Physical Description:
- 1 online resource (490 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Jefferson : Institution of Engineering & Technology, 2023.
- Summary:
- This edited book gives insights into the deployment, application, management, and benefits of explainable artificial intelligence (XAI) in medical decision support systems (MDSS). The book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues.
- Contents:
- Chapter 1: Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): healthcare systems perspective
- Chapter 2: Explainable artificial intelligence (XAI) in medical decision support systems (MDSS): applicability, prospects, legal implications, and challenges
- Chapter 3: Explainable Artificial Intelligence-based framework for medical decision support systems
- Chapter 4: Prototype interface for detecting mental fatigue with EEG and XAI frameworks in Industry 4.0
- Chapter 5: XAI for medical image segmentation in medical decision support systems
- Chapter 6: XAI robot-assisted surgeries in future medical decision support systems
- Chapter 7: Prediction of erythemato squamous-disease using ensemble learning framework
- Chapter 8: Security-based explainable artificial intelligence (XAI) in healthcare system
- Chapter 9: Explainable dimensionality reduction model with deep learning for diagnosing hypertensive retinopathy
- Chapter 10: Understanding cancer patients with diagnostically influential factors using high-dimensional data embedding
- Chapter 11: Explainable neural networks in diabetes mellitus prediction
- Chapter 12: A KNN and ANN model for predicting heart diseases
- Chapter 13: Artificial Intelligence-enabled Internet of Medical Things for COVID-19 pandemic data management
- Chapter 14: A deep neural network for the identification of lead molecules in antibiotics discovery
- Chapter 15: Statistical test with differential privacy for medical decision support systems
- Chapter 16: Automated decision support system for diagnosing sleep diseases using machine intelligence techniques
- Chapter 17: XAI methods for precision medicine in medical decision support systems
- Chapter 18: The psychology of explanation in medical decision support systems.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-83724-479-0
- 1-5231-5351-2
- 1-83953-621-7
- OCLC:
- 1351202484
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