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Machine Learning with Health Care Perspective

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Cover of 'Machine Learning with Health Care Perspective'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Learning for Healthcare: Introduction
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    Chapter 2 Artificial Intelligence in Medical Diagnosis: Methods, Algorithms and Applications
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    Chapter 3 Intelligent Learning Analytics in Healthcare Sector Using Machine Learning
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    Chapter 4 Unsupervised Learning on Healthcare Survey Data with Particle Swarm Optimization
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    Chapter 5 Machine Learning for Healthcare Diagnostics
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    Chapter 6 Disease Detection System (DDS) Using Machine Learning Technique
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    Chapter 7 Knowledge Discovery (Feature Identification) from Teeth, Wrist and Femur Images to Determine Human Age and Gender
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    Chapter 8 Deep Learning Solutions for Skin Cancer Detection and Diagnosis
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    Chapter 9 Security of Healthcare Systems with Smart Health Records Using Cloud Technology
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    Chapter 10 Intelligent Heart Disease Prediction on Physical and Mental Parameters: A ML Based IoT and Big Data Application and Analysis
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    Chapter 11 Medical Text and Image Processing: Applications, Issues and Challenges
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    Chapter 12 Machine Learning Methods for Managing Parkinson’s Disease
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    Chapter 13 An Efficient Method for Computer-Aided Diagnosis of Cardiac Arrhythmias
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    Chapter 14 Clinical Decision Support Systems and Predictive Analytics
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    Chapter 15 Yajna and Mantra Science Bringing Health and Comfort to Indo-Asian Public: A Healthcare 4.0 Approach and Computational Study
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    Chapter 16 Identifying Diseases and Diagnosis Using Machine Learning
Attention for Chapter 2: Artificial Intelligence in Medical Diagnosis: Methods, Algorithms and Applications
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Chapter title
Artificial Intelligence in Medical Diagnosis: Methods, Algorithms and Applications
Chapter number 2
Book title
Machine Learning with Health Care Perspective
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-40850-3_2
Book ISBNs
978-3-03-040849-7, 978-3-03-040850-3
Authors

J. H. Kamdar, J. Jeba Praba, John J. Georrge, Kamdar, J. H., Jeba Praba, J., Georrge, John J.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 18%
Student > Bachelor 2 7%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 1 4%
Student > Master 1 4%
Other 3 11%
Unknown 14 50%
Readers by discipline Count As %
Computer Science 3 11%
Unspecified 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Mathematics 1 4%
Business, Management and Accounting 1 4%
Other 5 18%
Unknown 16 57%