Medical Applications of Artificial Intelligence

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A Crash Introduction to Ambient Assisted Living
A System for Melanoma Diagnosis Based on Data Mining
Aal
algorithm
Ann Classifier
Anticancer Drug Design
Baseline Removal
Category=UYQ
clinical decision support systems
Cluster Center Points
CNS Tumor
computational diagnostics
Context Aware Applications
Context Aware Systems
Data Set
Deep Belief Networks
deep learning for medical image analysis
Differential Mobility Spectrometer
EEG Signal
EHR System
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
fuzzy clustering techniques
Fuzzy Controller
genetic
genetic algorithms in medicine
learning
Light Therapy
machine
machines
Membership Functions
Microarray Gene Expression Data
Microarray Gene Expression Data Sets
Mis Instrument
National Library
network
networks
neural
NLP System
Optical Coherence Tomography Images
Overview of Artificial Intelligence
Personal Health Record
Predicting Toxicity of Chemicals Computationally
Propose GA Method
Soft Tissue Characterization Using Genetic Algorithm
support
support vector machine analysis
Te Ch
vector
wearable health technology

Product details

  • ISBN 9781439884331
  • Weight: 1088g
  • Dimensions: 178 x 254mm
  • Publication Date: 06 Nov 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.