[HTML][HTML] Natural language processing of clinical notes on chronic diseases: systematic review
Background: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …
are required in the domain of chronic diseases, given the growing incidence of such …
Clinical natural language processing in languages other than English: opportunities and challenges
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …
outcome has been thriving in recent years. This paper offers the first broad overview of …
Extracting information from the text of electronic medical records to improve case detection: a systematic review
Abstract Background Electronic medical records (EMRs) are revolutionizing health-related
research. One key issue for study quality is the accurate identification of patients with the …
research. One key issue for study quality is the accurate identification of patients with the …
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability
JC Kirby, P Speltz, LV Rasmussen… - Journal of the …, 2016 - academic.oup.com
Objective Health care generated data have become an important source for clinical and
genomic research. Often, investigators create and iteratively refine phenotype algorithms to …
genomic research. Often, investigators create and iteratively refine phenotype algorithms to …
A review of approaches to identifying patient phenotype cohorts using electronic health records
C Shivade, P Raghavan… - Journal of the …, 2014 - academic.oup.com
Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …
patients with a common phenotype. Materials and methods We performed a review of …
Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
In secondary analysis of electronic health records, a crucial task consists in correctly
identifying the patient cohort under investigation. In many cases, the most valuable and …
identifying the patient cohort under investigation. In many cases, the most valuable and …
CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records
Objective Accurate extraction of breast cancer patients' phenotypes is important for clinical
decision support and clinical research. This study developed and evaluated cancer domain …
decision support and clinical research. This study developed and evaluated cancer domain …
Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network
KM Newton, PL Peissig, AN Kho… - Journal of the …, 2013 - academic.oup.com
Background Genetic studies require precise phenotype definitions, but electronic medical
record (EMR) phenotype data are recorded inconsistently and in a variety of formats …
record (EMR) phenotype data are recorded inconsistently and in a variety of formats …
[HTML][HTML] Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus
Abstract The 2014 i2b2/UTHealth natural language processing shared task featured a track
focused on the de-identification of longitudinal medical records. For this track, we de …
focused on the de-identification of longitudinal medical records. For this track, we de …
Development of phenotype algorithms using electronic medical records and incorporating natural language processing
Electronic medical records are emerging as a major source of data for clinical and
translational research studies, although phenotypes of interest need to be accurately …
translational research studies, although phenotypes of interest need to be accurately …