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AI and big data in cardiologya practical guide /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI and big data in cardiologyedited by Nicolas Duchateau, Andrew P. King.
Reminder of title:	a practical guide /
other author:	Duchateau, Nicolas.
Published:	Cham :Springer International Publishing :2023.
Description:	ix, 216 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	CardiologyData processing.
Online resource:	https://doi.org/10.1007/978-3-031-05071-8
ISBN:	9783031050718$q(electronic bk.)

AI and big data in cardiologya practical guide /
AI and big data in cardiologya practical guide /[electronic resource] :edited by Nicolas Duchateau, Andrew P. King. - Cham :Springer International Publishing :2023. - ix, 216 p. :ill., digital ;24 cm.

Introduction -- AI and Machine Learning: the Basics -- From Machine Learning to Deep Learning -- Measurement and Quantification -- Diagnosis -- Outcome Prediction -- Quality Control -- AI and Decision Support -- AI in the Real World -- Analysis of Non-imaging Data -- Conclusions.

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.

ISBN: 9783031050718$q(electronic bk.)

Standard No.: 10.1007/978-3-031-05071-8doiSubjects--Topical Terms:

949925
Cardiology
--Data processing.

LC Class. No.: RC669

Dewey Class. No.: 616.120028563

AI and big data in cardiologya practical guide /
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300 $a ix, 216 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- AI and Machine Learning: the Basics -- From Machine Learning to Deep Learning -- Measurement and Quantification -- Diagnosis -- Outcome Prediction -- Quality Control -- AI and Decision Support -- AI in the Real World -- Analysis of Non-imaging Data -- Conclusions.
520 $a 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.
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650 0 $a Artificial intelligence $x Medical applications. $3 237917
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700 1 $a Duchateau, Nicolas. $3 949924
700 1 $a King, Andrew P. $q (Andrew Peter), $e author. $3 872545
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