Medical Applications of Artificial Intelligence 1st edition by Arvin Agah – Ebook PDF Instant Download/Delivery: 1138072273, 978-1138072275
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Product details:
ISBN 10: 1138072273
ISBN 13: 978-1138072275
Author: Arvin Agah
Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems.
After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.
Medical Applications of Artificial Intelligence 1st Table of contents:
1. Introduction to Medical Applications of Artificial Intelligence
2. Overview of Artificial Intelligence
3. Overview of Prominent Machine Learning and Data Mining Methods with Example Applications to the Medical Domain
4. Introduction to Computational Intelligence Techniques and Areas of Their Applications in Medicine
5. Satisficing or the Right Information at the Right Time: Artificial Intelligence and Information Retrieval, a Comparative Study in Medicine and Law
6. Soft Tissue Characterization Using Genetic Algorithm
7. Investigation on Support Vector Machines and Wavelet Transform in Electroencephalogram Signal Classification
8. Building Naïve Bayes Classifiers with High-Dimensional and Small-Sized Data Sets
9. Predicting Toxicity of Chemicals Computationally
10. Cancer Prediction Methodology Using an Enhanced Artificial Neural Network-Based Classifier and Dominant Gene Expression
11. A System for Melanoma Diagnosis Based on Data Mining
12. Implementation and Optimization of a Method for Retinal Layer Extraction and Reconstruction in Optical Coherence Tomography Images
13. Deep Learning for the Semiautomated Analysis of Pap Smears
14. A Penalized Fuzzy Clustering Algorithm with Its Application in Magnetic Resonance Image Segmentation
15. Uncertainty, Safety, and Performance: A Generalizable Approach to Risk-Based (Therapeutic) Decision Making
16. Clinical Decision Support in Medicine: A Survey of Current State-of-the-Art Implementations, Best Practices, and Gaps
17. Fuzzy Naïve Bayesian Approach for Medical Decision Support
18. Approaches for Establishing Methodologies in Metabolomic Studies for Clinical Diagnostics
19. A Comparison of Seven Discretization Techniques Used for Rule Induction from Data on the Lazy Eye Vision Disorder
20. A Crash Introduction to Ambient Assisted Living
21. Intelligent Light Therapy for Older Adults: Ambient Assisted Living
22. Context Awareness for Medical Applications
23. Natural Language Processing in Medicine
24. Intelligent Personal Health Record
25. Application of Artificial Intelligence in Minimally Invasive Surgery and Artificial Palpation
26. Wearable Behavior Navigation Systems for First-Aid Assistance
27. Artificial Intelligence Approaches for Drug Safety Surveillance and Analysis
28. Artificial Intelligence Resources: Publications and Tools
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Tags: Arvin Agah, Medical Applications, Artificial Intelligence