Medical Applications of Artificial Intelligence

Arvin Agah, Arvin Agah

• Editorial: CRC Press
• Año: 2013
• ISBN:
  9781439884348
• Edición: 1
• Categoría: Medicina
• Categoría: Biotecnologia in medicina

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

Índice

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