AIMC Topic: Social Media

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Extraction of actionable information from crowdsourced disaster data.

Journal of emergency management (Weston, Mass.)
Natural disasters cause enormous damage to countries all over the world. To deal with these common problems, different activities are required for disaster management at each phase of the crisis. There are three groups of activities as follows: (1) m...

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...

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...

Patient Empowerment through Personal Medical Recommendations.

Studies in health technology and informatics
Patients today have ample opportunities to inform themselves about their disease and possible treatments using the Internet. While this type of patient empowerment is widely regarded as having a positive influence on the treatment, there exists the p...

Development of an Adolescent Depression Ontology for Analyzing Social Data.

Studies in health technology and informatics
Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely care to adolescents. This study aims to develop an ontology for collecting and analyzing social medi...

Automatically Expanding the Synonym Set of SNOMED CT using Wikipedia.

Studies in health technology and informatics
Clinical terminologies and ontologies are often used in natural language processing/understanding tasks as a method for semantically tagging text. One ontology commonly used for this task is SNOMED CT. Natural language is rich and varied: many differ...

Exploring brand-name drug mentions on Twitter for pharmacovigilance.

Studies in health technology and informatics
Twitter has been proposed by several studies as a means to track public health trends such as influenza and Ebola outbreaks by analyzing user messages in order to measure different population features and interests. In this work we analyze the number...

Expertizer: a tool to assess the expert level of online health websites.

Studies in health technology and informatics
Health-related Web sites have become a primary resource to search for information on diseases, diagnoses or treatment options. Various Web sites offer a great variety of such information. However, lay people might have difficulties to assess whether ...

Incidence Rate of Canonical vs. Derived Medical Terminology in Natural Language.

Studies in health technology and informatics
Medical terminology appears in the natural language in multiple forms: canonical, derived or inflected form. This research presents an analysis of the form in which medical terminology appears in Romanian and English language. The sources of medical ...