AIMC Topic: Semantics

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Semi-Automatic Mark-Up and UMLS Annotation of Clinical Guidelines.

Studies in health technology and informatics
Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization in the healthcare domain. To derive clinical pathways from clinical guidelines, the imprecise, non-formalized abstract guidel...

Light-Weighted Automatic Import of Standardized Ontologies into the Content Management System Drupal.

Studies in health technology and informatics
The amount of ontologies, which are utilizable for widespread domains, is growing steadily. BioPortal alone, embraces over 500 published ontologies with nearly 8 million classes. In contrast, the vast informative content of these ontologies is only d...

Expert2OWL: A Methodology for Pattern-Based Ontology Development.

Studies in health technology and informatics
The formalization of expert knowledge enables a broad spectrum of applications employing ontologies as underlying technology. These include eLearning, Semantic Web and expert systems. However, the manual construction of such ontologies is time-consum...

Non-Visually Performing Analytical Tasks on Statistical Charts.

Studies in health technology and informatics
This article proposes a natural language-based approach to accessibility of charts. Formal underpinnings are used to semantically annotate the constituent elements of a vector graphic to support accessing and modifying the content by natural language...

Semantic Technologies and Bio-Ontologies.

Methods in molecular biology (Clifton, N.J.)
As information available through data repositories constantly grows, the need for automated mechanisms for linking, querying, and sharing data has become a relevant factor both in research and industry. This situation is more evident in research fiel...

Semantic Technologies for Re-Use of Clinical Routine Data.

Studies in health technology and informatics
Routine patient data in electronic patient records are only partly structured, and an even smaller segment is coded, mainly for administrative purposes. Large parts are only available as free text. Transforming this content into a structured and sema...

A Case Study on Sepsis Using PubMed and Deep Learning for Ontology Learning.

Studies in health technology and informatics
We investigate the application of distributional semantics models for facilitating unsupervised extraction of biomedical terms from unannotated corpora. Term extraction is used as the first step of an ontology learning process that aims to (semi-)aut...

HL7 FHIR: Ontological Reinterpretation of Medication Resources.

Studies in health technology and informatics
"A solid ontology-based analysis with a rigorous formal mapping for correctness" is one of the ten reasons why the HL7 standard Fast Healthcare Interoperability Resources (FHIR) is advertised to be better than other standards for EHR interoperability...

HTP-NLP: A New NLP System for High Throughput Phenotyping.

Studies in health technology and informatics
Secondary use of clinical data for research requires a method to quickly process the data so that researchers can quickly extract cohorts. We present two advances in the High Throughput Phenotyping NLP system which support the aim of truly high throu...

Personalized Guideline-Based Treatment Recommendations Using Natural Language Processing Techniques.

Studies in health technology and informatics
Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization. Today, electronic representation of clinical guidelines exists as unstructured text, but is not well-integrated with patient...