[HTML][HTML] Clinical information extraction applications: a literature review
Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …
harvest information and knowledge from EHRs to support automated systems at the point of …
[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 …
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research
B Birnbaum, N Nussbaum, K Seidl-Rathkopf… - ar** 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 …
Natural language processing in oncology: a review
Importance Natural language processing (NLP) has the potential to accelerate translation of
cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of …
cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of …
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 …
[HTML][HTML] Clinical data reuse or secondary use: current status and potential future progress
Objective: To perform a review of recent research in clinical data reuse or secondary use,
and envision future advances in this field. Methods: The review is based on a large literature …
and envision future advances in this field. Methods: The review is based on a large literature …
Machine learning techniques for biomedical natural language processing: a comprehensive review
The widespread use of electronic health records (EHR) systems in health care provides a
large amount of real-world data, leading to new areas for clinical research. Natural language …
large amount of real-world data, leading to new areas for clinical research. Natural language …
Natural language processing technologies in radiology research and clinical applications
The migration of imaging reports to electronic medical record systems holds great potential
in terms of advancing radiology research and practice by leveraging the large volume of …
in terms of advancing radiology research and practice by leveraging the large volume of …
Natural language–based machine learning models for the annotation of clinical radiology reports
Purpose To compare different methods for generating features from radiology reports and to
develop a method to automatically identify findings in these reports. Materials and Methods …
develop a method to automatically identify findings in these reports. Materials and Methods …