[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] Clinical concept extraction: a methodology review
Background Concept extraction, a subdomain of natural language processing (NLP) with a
focus on extracting concepts of interest, has been adopted to computationally extract clinical …
focus on extracting concepts of interest, has been adopted to computationally extract clinical …
[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 …
A primer on the present state and future prospects for machine learning and artificial intelligence applications in cardiology
The artificial intelligence (AI) revolution is well underway, including in the medical field, and
has dramatically transformed our lives. An understanding of the basics of AI applications …
has dramatically transformed our lives. An understanding of the basics of AI applications …
Successfully implemented artificial intelligence and machine learning applications in cardiology: state-of-the-art review
The omnipresence and deep impact of artificial intelligence (AI) in today's society are
undeniable. While the technology has already established itself as a powerful tool in several …
undeniable. While the technology has already established itself as a powerful tool in several …
Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy
S Chen, M Guevara, N Ramirez, A Murray… - JCO Clinical Cancer …, 2023 - ascopubs.org
PURPOSE Radiotherapy (RT) toxicities can impair survival and quality of life, yet remain
understudied. Real-world evidence holds potential to improve our understanding of …
understudied. Real-world evidence holds potential to improve our understanding of …
Measurement extraction with natural language processing: a review
Quantitative data is important in many domains. Information extraction methods draw
structured data from documents. However, the extraction of quantities and their contexts has …
structured data from documents. However, the extraction of quantities and their contexts has …
Congestive heart failure information extraction framework for automated treatment performance measures assessment
Objective: This paper describes a new congestive heart failure (CHF) treatment performance
measure information extraction system–CHIEF–developed as part of the Automated Data …
measure information extraction system–CHIEF–developed as part of the Automated Data …
Extraction of ejection fraction from echocardiography notes for constructing a cohort of patients having heart failure with reduced ejection fraction (HFrEF)
KB Wagholikar, CM Fischer, A Goodson… - Journal of medical …, 2018 - Springer
Left ventricular ejection fraction (LVEF) is an important prognostic indicator of cardiovascular
outcomes. It is used clinically to determine the indication for several therapeutic …
outcomes. It is used clinically to determine the indication for several therapeutic …
[HTML][HTML] Automating quality measures for heart failure using natural language processing: a descriptive study in the Department of Veterans Affairs
Background: We developed an accurate, stakeholder-informed, automated, natural
language processing (NLP) system to measure the quality of heart failure (HF) inpatient …
language processing (NLP) system to measure the quality of heart failure (HF) inpatient …