Background Clostridium difficile is a leading cause of morbidity and mortality in several
countries. However, there are limited evidence characterizing its role as a global public …

Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …

With the widespread adoption of electronic health records (EHRs), large repositories of
structured and unstructured patient data are becoming available to conduct observational …

Background: Clostridium difficile infection (CDI), the most common health care–associated
infection, often recurs. Fecal microbiota transplantation is increasingly used to treat multiply …

We evaluated the annual rate (cases/10,000 hospitalizations) of pediatric hospitalizations
with Clostridium difficile infection (CDI; International Classification of Diseases, 9th revision …

Objectives Electronic health records (EHR) can allow for the generation of large cohorts of
individuals with given diseases for clinical and genomic research. A rate-limiting step is the …

Objective In an effort to improve the efficiency of computer algorithms applied to screening
for coronavirus disease 2019 (COVID-19) testing, we used natural language processing and …

Background Lengthier antimicrobial therapy is associated with increased costs,
antimicrobial resistance, and adverse drug events. Therefore, establishing minimum …

Background Critical limb ischemia (CLI) is a complication of advanced peripheral artery
disease (PAD) with diagnosis based on the presence of clinical signs and symptoms …

Objective Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects
millions of individuals worldwide. We developed a natural language processing (NLP) …