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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
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Title
Machine Learning with Health Care Perspective
Published by
Springer International Publishing, May 2020
DOI 10.1007/978-3-030-40850-3
ISBNs
978-3-03-040849-7, 978-3-03-040850-3
Editors

Jain, Vishal, Chatterjee, Jyotir Moy

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