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Data Science for Healthcare

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Cover of 'Data Science for Healthcare'

Table of Contents

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    Book Overview
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    Chapter 1 Data Science in Healthcare: Benefits, Challenges and Opportunities
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    Chapter 2 Introduction to Classification Algorithms and Their Performance Analysis Using Medical Examples
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    Chapter 3 The Role of Deep Learning in Improving Healthcare
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    Chapter 4 Making Effective Use of Healthcare Data Using Data-to-Text Technology
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    Chapter 5 Clinical Natural Language Processing with Deep Learning
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    Chapter 6 Ontology-Based Knowledge Management for Comprehensive Geriatric Assessment and Reminiscence Therapy on Social Robots
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    Chapter 7 Assistive Robots for the Elderly: Innovative Tools to Gather Health Relevant Data
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    Chapter 8 Overview of Data Linkage Methods for Integrating Separate Health Data Sources
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    Chapter 9 A Flexible Knowledge-Based Architecture for Supporting the Adoption of Healthy Lifestyles with Persuasive Dialogs
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    Chapter 10 Visual Analytics for Classifier Construction and Evaluation for Medical Data
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    Chapter 11 Data Visualization in Clinical Practice
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    Chapter 12 Using Process Analytics to Improve Healthcare Processes
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    Chapter 13 A Multi-Scale Computational Approach to Understanding Cancer Metabolism
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    Chapter 14 Leveraging Financial Analytics for Healthcare Organizations in Value-Based Care Environments
Attention for Chapter 8: Overview of Data Linkage Methods for Integrating Separate Health Data Sources
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