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Fundamentals of Clinical Data Science

Overview of attention for book
Fundamentals of Clinical Data Science
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Data Sources
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    Chapter 2 Data at Scale
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    Chapter 3 Standards in Healthcare Data
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    Chapter 4 Research Data Stewardship for Healthcare Professionals
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    Chapter 5 The EU’s General Data Protection Regulation (GDPR) in a Research Context
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    Chapter 6 Preparing Data for Predictive Modelling
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    Chapter 7 Extracting Features from Time Series
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    Chapter 8 Prediction Modeling Methodology
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    Chapter 9 Diving Deeper into Models
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    Chapter 10 Reporting Standards and Critical Appraisal of Prediction Models
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    Chapter 11 Clinical Decision Support Systems
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    Chapter 12 Mobile Apps
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    Chapter 13 Optimizing Care Processes with Operational Excellence & Process Mining
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    Chapter 14 Value-Based Health Care Supported by Data Science
Overall attention for this book and its chapters
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