Semantic Web in data mining and knowledge discovery: A comprehensive survey
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 …
concerned with deriving higher-level insights from data. The tasks performed in that field are …
Assessing the practice of data quality evaluation in a national clinical data research network through a systematic sco** review in the era of real-world data
Objective To synthesize data quality (DQ) dimensions and assessment methods of real-
world data, especially electronic health records, through a systematic sco** review and to …
world data, especially electronic health records, through a systematic sco** review and to …
Data and information quality
C Batini, M Scannapieco - Cham, Switzerland: Springer International …, 2016 - Springer
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 …
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
[HTML][HTML] A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data
Objective: Harmonized data quality (DQ) assessment terms, methods, and reporting
practices can establish a common understanding of the strengths and limitations of …
practices can establish a common understanding of the strengths and limitations of …
A survey on data quality: classifying poor data
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 …
organizations. The quality of the data, ie, the degree to which the data characteristics fulfill …
Incidence and prevalence of cardiovascular disease in English primary care: a cross-sectional and follow-up study of the Royal College of General Practitioners …
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 …
factors, medication prescribed to treat CVD and predictors of CVD within a nationally …
Clinical information seeking behavior of physicians: A systematic review
Introduction Physicians encounter a large number of questions during patient care.
Therefore, finding high-quality evidence provides a good opportunity to improve patient care …
Therefore, finding high-quality evidence provides a good opportunity to improve patient care …
Data quality in electronic health records research: quality domains and assessment methods
SL Feder - Western journal of nursing research, 2018 - journals.sagepub.com
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 …
opportunities for nurse scientists to use EHR data in a variety of research designs. However …
[HTML][HTML] Bridging the “last mile” gap between AI implementation and operation:“data awareness” that matters
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 …
and wide because of their ability to endow decision support systems with so-called artificial …
Quality assessment of real-world data repositories across the data life cycle: a literature review
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 …
and context of longitudinal real-world data (RWD) have not been formalized for quality …