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Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine
Machine Learning in Cardiovascular Medicine
  • Συγγραφείς: Al'Aref et al
  • ISBN: 9780128202739
  • Εκδότης: Elsevier
  • Σελίδες: 454
  • Διαστάσεις: 216 X 276 mm
  • Έτος Έκδοσης: 2020
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139,00€
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Edited by Subhi J. Al'Aref, M.D., Assistant Professor of Medicine University of Arkansas for Medical Sciences, Little Rock, Arkansas, U.S.A. ; Gurpreet Singh, Senior Manager, Data Science Capabilities Glaxosmithkline, based in Philadelphia, U.S.A. ; Lohendran Baskaran, Visiting Assistant Professor of Research in Radiology at Weill Cornell Medicine, New York Consultant Cardiologist with the Department of Cardiology at the National Heart Centre Singapore and Dimitri Metaxas, Distinguished Professor of Computer Science, Rutgers University, U.S.A. Director of the Center for Computational Biomedicine, Imaging and Modeling (CBIM)
 
Features:
  • Provides an overview of machine learning, both for a clinical and engineering audience
  • Summarize recent advances in both cardiovascular medicine and artificial intelligence
  • Discusses the advantages of using machine learning for outcomes research and image processing
  • Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

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Ετικέτες: Cardiovascular , Medicine