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Description

Identifying patients who should be recommended for cancer genetic counseling depends on family health history information (FHx) and complicated semantic evidence based rules. Using ontology oriented programming made possible by the owlready2 API, we developed a ReSTful web service that consumes FHx and produces recommendations for patients using the HermiT semantic reasoner.

Learning Objective: After participating in this session, the learner should be better able to:

Understand how ontology oriented programming can drive decision support for hereditary cancer risk assessment and improve identification of patients who should receive genetic counseling.

Recognize general ontology concepts such as classes, properties, individuals and rules and articulate how ontologies represent an intuitive model for storing and reasoning about family health history (FHx).

Authors:

Jordon Ritchie (Presenter)
Medical University of South Carolina

Lewis Frey, Medical University of South Carolina
Jean-Baptiste Lamy, Université Paris 13
Heath Morrison, Medical University of South Carolina
Brandon Welch, Medical University of South Carolina

Presentation Materials:

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