Part 1: Data collection
Data sources
Data at scale
Standards in healthcare data
Research Data Stewardship for Healthcare Professionals
The EU’s General Data Protection Regulation (GDPR) in a Research Context
Part 2: From Data to Model
Preparing Data for Predictive Modelling
Extracting Features from Time Series
Prediction Modeling Methodology
Diving Deeper into Models
Reporting Standards and Critical Appraisal of Prediction Models
Part 3: From Model to Application
Clinical decision support systems
Mobile Apps
Optimizing Care Processes with Operational Excellence & Process Mining
Value-Based Health Care Supported by Data Science
Fundamentals of
Clinical Data Science
Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes.
