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Intelligent Systems in Medicine and Health

Overview of attention for book
Cover of 'Intelligent Systems in Medicine and Health'

Table of Contents

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    Book Overview
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    Chapter 1 Introducing AI in Medicine
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    Chapter 2 AI in Medicine: Some Pertinent History
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    Chapter 3 Data and Computation: A Contemporary Landscape
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    Chapter 4 Knowledge-Based Systems in Medicine
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    Chapter 5 Clinical Cognition and AI: From Emulation to Symbiosis
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    Chapter 6 Machine Learning Systems
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    Chapter 7 Natural Language Processing
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    Chapter 8 Explainability in Medical AI
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    Chapter 9 Intelligent Agents and Dialog Systems
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    Chapter 10 Integration of AI for Clinical Decision Support
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    Chapter 11 Predicting Medical Outcomes
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    Chapter 12 Interpreting Medical Images
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    Chapter 13 Public Health Applications
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    Chapter 14 AI in Translational Bioinformatics and Precision Medicine
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    Chapter 15 Health Systems Management
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    Chapter 16 Intelligent Systems in Learning and Education
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    Chapter 17 Framework for the Evaluation of Clinical AI Systems
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    Chapter 18 Ethical and Policy Issues
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    Chapter 19 Anticipating the Future of Artificial Intelligence in Medicine and Health Care: A Clinical Data Science Perspective
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    Chapter 20 Reflections and Projections
Attention for Chapter 6: Machine Learning Systems
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Readers on

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Summary
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Chapter title
Machine Learning Systems
Chapter number 6
Book title
Intelligent Systems in Medicine and Health
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-09108-7_6
Book ISBNs
978-3-03-109107-0, 978-3-03-109108-7
Authors

Subramanian, Devika, Cohen, Trevor A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Engineering 1 100%

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