OntoDiagram: automatic diagram generation for congenital heart defects in pediatric cardiology.

In pediatric cardiology as well as many other medical specialties, the accurate portrayal of a large volume of patient information is crucial to providing good patient care. Our research aims at utilizing clinical and spatial ontologies representing the human heart, to automatically generate a Mullins-like diagram based on a patient's information in the cardiology databases. Our ontology allows an intuitive way of modeling congenital defects with the structure of the human heart.

MachineProse: an ontological framework for scientific assertions.

Objective: The idea of testing a hypothesis is central to the practice of biomedical research. However, the results of testing a hypothesis are published mainly in the form of prose articles. Encoding the results as scientific assertions that are both human and machine readable would greatly enhance the synergistic growth and dissemination of knowledge.