AIMC Topic:
Semantics

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Supporting Prescriptions with Synonym Matching of Section Names in Prospectuses.

Studies in health technology and informatics
The field of medicine still reports errors because of insufficient knowledge or resources, work load or data not available at the right time and place, and this may be fatal for a patient. To improve the healthcare quality, a doctor needs accurate an...

Structuring Clinical Decision Support Rules for Drug Safety Using Natural Language Processing.

Studies in health technology and informatics
Drug safety is an important aspect in healthcare, resulting in a number of inadvertent events, which may harm the patients. IT based Clinical Decision Support (CDS), integrated in electronic-prescription or Electronic Health Records (EHR) systems, ca...

Matching Ontologies to HL7 FHIR Towards Their Syntactic and Semantic Similarity.

Studies in health technology and informatics
Current medical systems need to be able to communicate complex and detailed medical data securely and efficiently. However, the quantity of available healthcare data is rising rapidly, far exceeding the capacity to deliver personal or public health b...

The Role of Axiomatically-Rich Ontologies in Transforming Medical Data to Knowledge.

Studies in health technology and informatics
In the biomedical domain, there exist a number of common data models (CDM) that have experienced wide uptake. However, none of these has emerged as the common model. Recently, the demand for integrating and analyzing increasingly large data sets in c...

Selection of Semantic Relevant Healthcare Services Subsets.

Studies in health technology and informatics
We describe an approach to select semantically coherent specialty subsets based on the historical use of terminology by different service areas. Our approach uses rule-based and machine learning techniques to obtain a reduced set of 29 specialties.

Improving Layman Readability of Clinical Narratives with Unsupervised Synonym Replacement.

Studies in health technology and informatics
We report on the development and evaluation of a prototype tool aimed to assist laymen/patients in understanding the content of clinical narratives. The tool relies largely on unsupervised machine learning applied to two large corpora of unlabeled te...

Automatic Annotation of French Medical Narratives with SNOMED CT Concepts.

Studies in health technology and informatics
Medical data is multimodal. In particular, it is composed of both structured data and narrative data (free text). Narrative data is a type of unstructured data that, although containing valuable semantic and conceptual information, is rarely reused. ...

OWL-NETS: Transforming OWL Representations for Improved Network Inference.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Our knowledge of the biological mechanisms underlying complex human disease is largely incomplete. While Semantic Web technologies, such as the Web Ontology Language (OWL), provide powerful techniques for representing existing knowledge, well-establi...

Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Recent years have seen increased worldwide popularity of e-cigarette use. However, the risks of e-cigarettes are underexamined. Most e-cigarette adverse event studies have achieved low detection rates due to limited subject sample sizes in...

Gene Ontology semantic similarity tools: survey on features and challenges for biological knowledge discovery.

Briefings in bioinformatics
Gene Ontology (GO) semantic similarity tools enable retrieval of semantic similarity scores, which incorporate biological knowledge embedded in the GO structure for comparing or classifying different proteins or list of proteins based on their GO ann...