AIMC Topic: Unified Medical Language System

Clear Filters Showing 31 to 40 of 151 articles

RadLex Normalization in Radiology Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies. However, limited research has focused on standardizing the entities to a common radiology-specific vocabulary. Furth...
Unified Medical Language System Radiology Information Systems Vocabulary, Controlled Humans Radiology Documentation Deep Learning Natural Language Processing Diagnostic Imaging
View on PubMed

Domain specific word embeddings for natural language processing in radiology.

Journal of biomedical informatics Dec 15, 2020
BACKGROUND: There has been increasing interest in machine learning based natural language processing (NLP) methods in radiology; however, models have often used word embeddings trained on general web corpora due to lack of a radiology-specific corpus...
Unified Medical Language System Radiology Semantics Machine Learning Natural Language Processing
View on PubMed DOI

Quality assurance and enrichment of biological and biomedical ontologies and terminologies.

BMC medical informatics and decision making Dec 15, 2020
Biological and biomedical ontologies and terminologies are used to organize and store various domain-specific knowledge to provide standardization of terminology usage and to improve interoperability. The growing number of such ontologies and termino...
Humans Biological Ontologies Unified Medical Language System Vocabulary, Controlled Semantics Systematized Nomenclature of Medicine
View on PubMed DOI

Prediction of severe chest injury using natural language processing from the electronic health record.

Injury Oct 25, 2020
INTRODUCTION: Trauma injury severity scores are currently calculated retrospectively from the electronic health record (EHR) using manual annotation by certified trauma coders. Natural language processing (NLP) of clinical documents in the EHR may en...
Electronic Health Records Natural Language Processing Thoracic Injuries Humans Unified Medical Language System Retrospective Studies
View on PubMed DOI

Summarization of biomedical articles using domain-specific word embeddings and graph ranking.

Journal of biomedical informatics May 19, 2020
Text summarization tools can help biomedical researchers and clinicians reduce the time and effort needed for acquiring important information from numerous documents. It has been shown that the input text can be modeled as a graph, and important sent...
Language Natural Language Processing Semantics Unified Medical Language System
View on PubMed DOI

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.

BMC medical informatics and decision making Apr 29, 2020
BACKGROUND: Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, but they remain inadequate at e...
Natural Language Processing Opioid-Related Disorders Adult Inpatients Unified Medical Language System Medical Records Machine Learning Electronic Health Records Humans
View on PubMed DOI

Concept based auto-assignment of healthcare questions to domain experts in online Q&A communities.

International journal of medical informatics Mar 6, 2020
BACKGROUND: Healthcare consumers are increasingly turning to the online health Q&A communities to seek answers for their questions because current general search engines are unable to digest complex health-related questions. Q&A communities are platf...
Humans Algorithms Information Storage and Retrieval Semantics Consumer Health Information Natural Language Processing Delivery of Health Care Search Engine Unified Medical Language System Expert Systems Surveys and Questionnaires
View on PubMed DOI

A Neuro-ontology for the neurological examination.

BMC medical informatics and decision making Mar 4, 2020
BACKGROUND: The use of clinical data in electronic health records for machine-learning or data analytics depends on the conversion of free text into machine-readable codes. We have examined the feasibility of capturing the neurological examination as...
Unified Medical Language System Neurologic Examination Systematized Nomenclature of Medicine Biological Ontologies Humans Electronic Health Records
View on PubMed DOI

SemBioNLQA: A semantic biomedical question answering system for retrieving exact and ideal answers to natural language questions.

Artificial intelligence in medicine Nov 28, 2019
BACKGROUND AND OBJECTIVE: Question answering (QA), the identification of short accurate answers to users questions written in natural language expressions, is a longstanding issue widely studied over the last decades in the open-domain. However, it s...
Information Storage and Retrieval Biomedical Technology Automation Natural Language Processing Humans Medical Informatics Machine Learning Unified Medical Language System PubMed Algorithms
View on PubMed DOI

A question-entailment approach to question answering.

BMC bioinformatics Oct 22, 2019
BACKGROUND: One of the challenges in large-scale information retrieval (IR) is developing fine-grained and domain-specific methods to answer natural language questions. Despite the availability of numerous sources and datasets for answer retrieval, Q...
Unified Medical Language System Information Storage and Retrieval Deep Learning Medical Informatics Logistic Models
View on PubMed DOI
Popular Topics
Recent Journals