An increasing number of studies have reported using natural language processing (NLP) to
assist observational research by extracting clinical information from electronic health records …

The Health Information Technology for Economic and Clinical Health (HITECH) Act was
signed into law in 2009 as part of the American Recovery and Reinvestment Act. HITECH …

This paper deals with the review of different data mining and machine learning approaches
engaged for the study of Rheumatoid Arthritis (RA). RA is a constant illness that affects the …

Abstract Phenotyping for Type 2 Diabetes (T2DM) is needed due to the increasing demand
for T2DM research on electronic health records (EHRs). eMERGE is a reliable and …

Background A subgroup of patients with asthma has been reported to have an increased
risk for asthma-associated infectious and inflammatory multimorbidities (AIMs). To …

Background The advancement of genomics has progressed in lightning speed over the past
two decades. Numerous large‐scale genome sequencing initiatives were announced, along …

A growing body of evidence generated from observational data has demonstrated the
potential to influence decision-making and improve patient outcomes. For observational …

Background: A subgroup of patients with asthma has been reported to have an increased
risk for asthma‑associated infectious and inflammatory multimorbidities (AIMs). To …

Evidence-based medicine (EBM) emerged as a movement to ground clinical practice in
empirical research to optimize patient care and outcomes. The exponential growth in clinical …