Inferring ontology graph structures using OWL reasoning.

Background: Ontologies are representations of a conceptualization of a domain. Traditionally, ontologies in biology were represented as directed acyclic graphs (DAG) which represent the backbone taxonomy and additional relations between classes. These graphs are widely exploited for data analysis in the form of ontology enrichment or computation of semantic similarity.

Integrating phenotype ontologies with PhenomeNET.

Background: Integration and analysis of phenotype data from humans and model organisms is a key challenge in building our understanding of normal biology and pathophysiology. However, the range of phenotypes and anatomical details being captured in clinical and model organism databases presents complex problems when attempting to match classes across species and across phenotypes as diverse as behaviour and neoplasia. We have previously developed PhenomeNET, a system for disease gene prioritization that includes as one of its components an ontology designed to integrate phenotype ontologies.

Sentiment Analysis on Tweets about Diabetes: An Aspect-Level Approach.

In recent years, some methods of sentiment analysis have been developed for the health domain; however, the diabetes domain has not been explored yet. In addition, there is a lack of approaches that analyze the positive or negative orientation of each aspect contained in a document (a review, a piece of news, and a tweet, among others). Based on this understanding, we propose an aspect-level sentiment analysis method based on ontologies in the diabetes domain.

Using data crawlers and semantic Web to build financial XBRL data generators: the SONAR extension approach.

Precise, reliable and real-time financial information is critical for added-value financial services after the economic turmoil from which markets are still struggling to recover. Since the Web has become the most significant data source, intelligent crawlers based on Semantic Technologies have become trailblazers in the search of knowledge combining natural language processing and ontology engineering techniques. In this paper, we present the SONAR extension approach, which will leverage the potential of knowledge representation by extracting, managing, and turning scarce and disperse financial information into well-classified, structured, and widely used XBRL format-oriented knowledge, strongly supported by a proof-of-concept implementation and a thorough evaluation of the benefits of the approach.

[Quality of life in patients with heart failure: the perspective of primary health care].

Objective: To measure and identify the dimensions and determinants of health-related quality of life (HRQoL) in patients with chronic heart failure.

Methods: We performed a cross-sectional study, in which HRQoL was measured with the short-form (SF)-36 and the Minnesota Living with Heart Failure Questionnaire (MLHFQ) in 544 clinically-stable patients with chronic heart failure managed by 97 primary care physicians.

Results: The mean age of the patients was 77.

Safety of stress echocardiography (from the International Stress Echo Complication Registry).

The safety of any diagnostic test is a major issue in deciding its practicability and cost-effectiveness. The aim of this study was to evaluate the safety of various stress echocardiographic modalities in the "real world." From February 1998 to January 2004, a simple written questionnaire was distributed to echocardiography laboratories across the world known to perform stress echocardiography.