AI and big data in cardiology : a practical guide / Nicolas Duchateau, Andrew P. King, editors.
2023
RC669
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Details
Title
AI and big data in cardiology : a practical guide / Nicolas Duchateau, Andrew P. King, editors.
ISBN
9783031050718 (electronic bk.)
3031050711 (electronic bk.)
3031050703
9783031050701
3031050711 (electronic bk.)
3031050703
9783031050701
Publication Details
Cham, Switzerland : Springer, 2023.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-031-05071-8 doi
Call Number
RC669
Dewey Decimal Classification
616.1/20028563
Summary
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.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 15, 2023).
Added Author
Duchateau, Nicolas.
King, Andrew P. (Andrew Peter)
King, Andrew P. (Andrew Peter)
Available in Other Form
Print version: 9783031050701
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Table of Contents
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.
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.