AIMC Topic: Semantics

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Medical Text Classification Using Convolutional Neural Networks.

Studies in health technology and informatics
We present an approach to automatically classify clinical text at a sentence level. We are using deep convolutional neural networks to represent complex features. We train the network on a dataset providing a broad categorization of health informatio...

Linked Data Applications Through Ontology Based Data Access in Clinical Research.

Studies in health technology and informatics
Clinical care and research data are widely dispersed in isolated systems based on heterogeneous data models. Biomedicine predominantly makes use of connected datasets based on the Semantic Web paradigm. Initiatives like Bio2RDF created Resource Descr...

BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences.

Database : the journal of biological databases and curation
UNLABELLED: Extracting meaningful relationships with semantic significance from biomedical literature is often a challenging task. BioCreative V track4 challenge for the first time has organized a comprehensive shared task to test the robustness of t...

A Gene Ontology Tutorial in Python.

Methods in molecular biology (Clifton, N.J.)
This chapter is a tutorial on using Gene Ontology resources in the Python programming language. This entails querying the Gene Ontology graph, retrieving Gene Ontology annotations, performing gene enrichment analyses, and computing basic semantic sim...

Semantic Similarity in the Gene Ontology.

Methods in molecular biology (Clifton, N.J.)
Gene Ontology-based semantic similarity (SS) allows the comparison of GO terms or entities annotated with GO terms, by leveraging on the ontology structure and properties and on annotation corpora. In the last decade the number and diversity of SS me...

Artificial Intelligence and Semantics through the Prism of Structural, Post-Structural and Transcendental Approaches.

Integrative psychological & behavioral science
There is a problem associated with contemporary studies of philosophy of mind, which focuses on the identification and convergence of human and machine intelligence. This is the problem of machine emulation of sense. In the present study, analysis of...

The Hyper-Modular Associative Mind: A Computational Analysis of Associative Responses of Persons with Asperger Syndrome.

Language and speech
Rigidity of thought is considered a main characteristic of persons with Asperger syndrome (AS). This rigidity may explain the poor comprehension of unusual semantic relations, frequently exhibited by persons with AS. Research indicates that such defi...

Expansion of the Hierarchical Terminology Auditing Framework Through Usage of Levenshtein Distance-Based Criterion.

Studies in health technology and informatics
We continue our previous work of creating and improving a framework for detecting the differences between hierarchical terminologies and suggesting ways to connect them, which is implemented in an automated tool.

Converting Text to Structured Models of Healthcare Services.

Studies in health technology and informatics
The paper presents a concise method for transforming textual representations of healthcare services, to a structured, semantically unambiguous modelling language. The method is designed based on literature, as well as trial and error by the authors, ...

Automatic Analysis of Critical Incident Reports: Requirements and Use Cases.

Studies in health technology and informatics
Increasingly, critical incident reports are used as a means to increase patient safety and quality of care. The entire potential of these sources of experiential knowledge remains often unconsidered since retrieval and analysis is difficult and time-...