AI and Big Data in Cardiology

AI and Big Data in Cardiology

  • Nicolas Duchateau
  • Andrew P. King
Publisher:Springer NatureISBN 13: 9783031050718ISBN 10: 3031050711

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Know about the book -

AI and Big Data in Cardiology is written by Nicolas Duchateau and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031050711 (ISBN 10) and 9783031050718 (ISBN 13).

This book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available techniques to address them for each topic covered. Sample data sets are also included to provide hands-on tutorials for readers using Python-based Jupyter notebooks, and are based upon real-world examples to ensure the reader can develop their confidence in applying these techniques to solve everyday clinical problems. Artificial Intelligence and Big Data in Cardiology systematically describes and technically reviews the latest applications of AI and big data within cardiology. It is ideal for use by the trainee and practicing cardiologist and informatician seeking an up-to-date resource on the topic with which to aid them in developing a thorough understanding of both basic concepts and recent advances in the field.