Medical Applications of Artificial Intelligence
eBook - PDF

Medical Applications of Artificial Intelligence

  1. 526 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Medical Applications of Artificial Intelligence

About this book

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 dev

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Yes, you can access Medical Applications of Artificial Intelligence by Arvin Agah in PDF and/or ePUB format, as well as other popular books in Medicine & Biotechnology in Medicine. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2013
Print ISBN
9781032688923
eBook ISBN
9781439884348
Edition
1
Topic
Medicine
Subtopic
Biotechnology in Medicine

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Editor
  5. Contributors
  6. Chapter 1: Introduction to Medical Applications of Artificial Intelligence
  7. Chapter 2: Overview of Artificial Intelligence
  8. Chapter 3: Overview of Prominent Machine Learning and Data Mining Methods with Example Applications to the Medical Domain
  9. Chapter 4: Introduction to Computational Intelligence Techniques and Areas of Their Applications in Medicine
  10. Chapter 5: Satisficing or the Right Information at the Right Time: Artificial Intelligence and Information Retrieval, a Comparative Study in Medicine and Law
  11. Chapter 6: Soft Tissue Characterization Using Genetic Algorithm
  12. Chapter 7: An Investigation on Support Vector Machines and Wavelet Transform in Electroencephalogram Signal Classification
  13. Chapter 8: Building NaĂŻve Bayes Classifiers with High-Dimensional and Small-Sized Data Sets
  14. Chapter 9: Predicting Toxicity of Chemicals Computationally
  15. Chapter 10: Cancer Prediction Methodology Using an Enhanced Artificial Neural Network–Based Classifier and Dominant Gene Expression
  16. Chapter 11: A System for Melanoma Diagnosis Based on Data Mining
  17. Chapter 12: Implementation and Optimization of a Method for Retinal Layer Extraction and Reconstruction in Optical Coherence Tomography Images
  18. Chapter 13: Deep Learning for the Semiautomated Analysis of Pap Smears
  19. Chapter 14: A Penalized Fuzzy Clustering Algorithm with its Application in Magnetic Resonance Image Segmentation
  20. Chapter 15: Uncertainty, Safety, and Performance: A Generalizable Approach to Risk-Based (Therapeutic) Decision Making
  21. Chapter 16: Clinical Decision Support in Medicine: A Survey of Current State-of-the-Art Implementations, Best Practices, and Gaps
  22. Chapter 17: Fuzzy NaĂŻve Bayesian Approach for Medical Decision Support
  23. Chapter 18: Approaches for Establishing Methodologies in Metabolomic Studies for Clinical Diagnostics
  24. Chapter 19: A Comparison of Seven Discretization Techniques Used for Rule Induction from Data on the Lazy Eye Vision Disorder
  25. Chapter 20: A Crash Introduction to Ambient Assisted Living
  26. Chapter 21: Intelligent Light Therapy for Older Adults: Ambient Assisted Living
  27. Chapter 22: Context Awareness for Medical Applications
  28. Chapter 23: Natural Language Processing in Medicine
  29. Chapter 24: Intelligent Personal Health Record
  30. Chapter 25: Application of Artificial Intelligence in Minimally Invasive Surgery and Artificial Palpation
  31. Chapter 26: Wearable Behavior Navigation Systems for First-Aid Assistance
  32. Chapter 27: Artificial Intelligence Approaches for Drug Safety Surveillance and Analysis
  33. Chapter 28: Artificial Intelligence Resources: Publications and Tools
  34. Back Cover