Abstract Data Mining and Knowledge Discovery in Databases (KDD) is a research field
concerned with deriving higher-level insights from data. The tasks performed in that field are …

Introduction Physicians encounter a large number of questions during patient care.
Therefore, finding high-quality evidence provides a good opportunity to improve patient care …

This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

Objective: Harmonized data quality (DQ) assessment terms, methods, and reporting
practices can establish a common understanding of the strengths and limitations of …

Data is part of our everyday life and an essential asset in numerous businesses and
organizations. The quality of the data, ie, the degree to which the data characteristics fulfill …

Objectives To describe incidence and prevalence of cardiovascular disease (CVD), its risk
factors, medication prescribed to treat CVD and predictors of CVD within a nationally …

Objective To synthesize data quality (DQ) dimensions and assessment methods of real-
world data, especially electronic health records, through a systematic scoping review and to …

Interest in the application of machine learning (ML) techniques to medicine is growing fast
and wide because of their ability to endow decision support systems with so-called artificial …

The proliferation of the electronic health record (EHR) has led to increasing interest and
opportunities for nurse scientists to use EHR data in a variety of research designs. However …

Objective Data quality (DQ) must be consistently defined in context. The attributes, metadata,
and context of longitudinal real-world data (RWD) have not been formalized for quality …