AIMC Topic: Semantics

Clear Filters Showing 1071 to 1080 of 1420 articles

FIR: An Effective Scheme for Extracting Useful Metadata from Social Media.

Journal of medical systems
Recently, the use of social media for health information exchange is expanding among patients, physicians, and other health care professionals. In medical areas, social media allows non-experts to access, interpret, and generate medical information f...

Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models.

Journal of biomedical informatics
We present the design, and analyze the performance of a multi-stage natural language processing system employing named entity recognition, Bayesian statistics, and rule logic to identify and characterize heart disease risk factor events in diabetic p...

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

Artificial intelligence in medicine
OBJECTIVE: Case-based reasoning (CBR) is a problem-solving paradigm that uses past knowledge to interpret or solve new problems. It is suitable for experience-based and theory-less problems. Building a semantically intelligent CBR that mimic the expe...

Active learning: a step towards automating medical concept extraction.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: This paper presents an automatic, active learning-based system for the extraction of medical concepts from clinical free-text reports. Specifically, (1) the contribution of active learning in reducing the annotation effort and (2) the robu...

Using Linked Data for polarity classification of patients' experiences.

Journal of biomedical informatics
Polarity classification is the main subtask of sentiment analysis and opinion mining, well-known problems in natural language processing that have attracted increasing attention in recent years. Existing approaches mainly rely on the subjective part ...

Biologically Plausible, Human-Scale Knowledge Representation.

Cognitive science
Several approaches to implementing symbol-like representations in neurally plausible models have been proposed. These approaches include binding through synchrony (Shastri & Ajjanagadde, ), "mesh" binding (van der Velde & de Kamps, ), and conjunctive...

Extending the evaluation of Genia Event task toward knowledge base construction and comparison to Gene Regulation Ontology task.

BMC bioinformatics
BACKGROUND: The third edition of the BioNLP Shared Task was held with the grand theme "knowledge base construction (KB)". The Genia Event (GE) task was re-designed and implemented in light of this theme. For its final report, the participating system...

The contribution of co-reference resolution to supervised relation detection between bacteria and biotopes entities.

BMC bioinformatics
BACKGROUND: The acquisition of knowledge about relations between bacteria and their locations (habitats and geographical locations) in short texts about bacteria, as defined in the BioNLP-ST 2013 Bacteria Biotope task, depends on the detection of co-...

Using ontologies to improve semantic interoperability in health data.

Journal of innovation in health informatics
The present-day health data ecosystem comprises a wide array of complex heterogeneous data sources. A wide range of clinical, health care, social and other clinically relevant information are stored in these data sources. These data exist either as s...