AIMC Topic: Natural Language Processing

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An Integrated Children Disease Prediction Tool within a Special Social Network.

Studies in health technology and informatics
This paper proposes a social network with an integrated children disease prediction system developed by the use of the specially designed Children General Disease Ontology (CGDO). This ontology consists of children diseases and their relationship wit...

Ontology-Oriented Programming for Biomedical Informatics.

Studies in health technology and informatics
Ontologies are now widely used in the biomedical domain. However, it is difficult to manipulate ontologies in a computer program and, consequently, it is not easy to integrate ontologies with databases or websites. Two main approaches have been propo...

Natural Language Understanding Performance & Use Considerations in Virtual Medical Encounters.

Studies in health technology and informatics
A virtual standardized patient (VSP) prototype was tested for natural language understanding (NLU) performance. The conversational VSP was evaluated in a controlled 61 subject study over four repetitions of a patient case. The prototype achieved more...

Natural Language Processing Technologies in Radiology Research and Clinical Applications.

Radiographics : a review publication of the Radiological Society of North America, Inc
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 data continuously being updated, integrated, and shared. However, ther...

Clinical Natural Language Processing in 2014: Foundational Methods Supporting Efficient Healthcare.

Yearbook of medical informatics
OBJECTIVE: To summarize recent research and present a selection of the best papers published in 2014 in the field of clinical Natural Language Processing (NLP).

Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis.

Yearbook of medical informatics
OBJECTIVES: We present a review of recent advances in clinical Natural Language Processing (NLP), with a focus on semantic analysis and key subtasks that support such analysis.

Protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer.

IET systems biology
Constructing interaction network from biomedical texts is a very important and interesting work. The authors take advantage of text mining and reinforcement learning approaches to establish protein interaction network. Considering the high computatio...

[Big data, medical language and biomedical terminology systems].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
A variety of rich terminology systems, such as thesauri, classifications, nomenclatures and ontologies support information and knowledge processing in health care and biomedical research. Nevertheless, human language, manifested as individually writt...

Advances in natural language processing.

Science (New York, N.Y.)
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the linguistic st...