Machine Learning Approaches for Disease State Classification

Machine Learning Approaches for Disease State Classification

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Description

Who is not fascinated by various images which show the brain functionality patterns? Aren't you amazed and somewhat dumbfounded when our brains can be read through an MRI machine? As the backbone of data mining, artificial intelligence has gradually received more recognition in academic world. Although specifically analyzing neuro-imaging data utilizing Artificial Neural Networks and Support Vector Machines, Peng's research has generally demonstrated the ability to achieve higher classification accuracy does not necessitate longer training time. With more intelligent algorithms and more efficient architectures, pattern recognition and classification can be performed more quickly and more accurately and will greatly benefit brain analysts.
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Product details

  • Paperback | 60 pages
  • 150.11 x 219.96 x 3.56mm | 136.08g
  • United States
  • English
  • black & white illustrations
  • 3659437433
  • 9783659437434