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Data Management and Analytics for Medicine and Healthcare

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Cover of 'Data Management and Analytics for Medicine and Healthcare'

Table of Contents

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    Book Overview
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    Chapter 1 How Blockchain Could Empower eHealth: An Application for Radiation Oncology
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    Chapter 2 On-Demand Service-Based Big Data Integration: Optimized for Research Collaboration
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    Chapter 3 CHIPS – A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud
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    Chapter 4 High Performance Merging of Massive Data from Genome-Wide Association Studies
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    Chapter 5 An Emerging Role for Polystores in Precision Medicine
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    Chapter 6 Social Media Mining to Understand Public Mental Health
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    Chapter 7 Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams
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    Chapter 8 Detection and Visualization of Variants in Typical Medical Treatment Sequences
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    Chapter 9 Umedicine: A System for Clinical Practice Support and Data Analysis
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    Chapter 10 Association Rule Learning and Frequent Sequence Mining of Cancer Diagnoses in New York State
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    Chapter 11 Healthsurance – Mobile App for Standardized Electronic Health Records Database
Attention for Chapter 2: On-Demand Service-Based Big Data Integration: Optimized for Research Collaboration
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