Evaluating OWL 2 Reasoners in the context of Clinical Decision Support in Lung Cancer Treatment Selection
نویسندگان
چکیده
This paper evaluates the performances of the OWL 2 reasoners HermiT, FaCT++ and Pellet in the context of an ontological clinical decision support system in lung cancer care. In the first set of experiments, we compare how the classification and realisation times of the LUCADA and LUCADA-SNOMED CT ontologies vary as we expand their TBoxes with additional guideline rule knowledge. In the second set of experiments, we investigate the effect of increasing the ABox of the LUCADA ontology on the realisation times.
منابع مشابه
Evaluating OWL 2 Reasoners in the Context of Checking Entity-Relationship Diagrams During Software Development
This paper evaluates the performances of the OWL 2 reasoners HermiT, FaCT++ and TReasoner in the context of an ontological decision support system in designing entity-relationship diagrams during software development. First, I described a developed ontology which is the knowledge base of the developed application for designing databases. In the first set of experiments I compared how the classi...
متن کاملGenomic CDS: an Example of a Complex Ontology for Pharmacogenetics and Clinical Decision Support
Individual genetic data can be used to better predict the efficacy and safety of medications for individual patients. The Genomic Clinical Decision Support (Genomic CDS) ontology aims to utilize advanced Web Ontology Language 2 (OWL 2) reasoning for this task. The important, clear-cut medical use case, the complex axioms in the ontology and the heavy use of qualified cardinality restrictions ma...
متن کاملLung Cancer Assistant: an Ontology-Driven, Online Decision Support Prototype
This paper describes the modelling of the LUCADA lung cancer ontology in OWL 2 and how this ontology is utilised by the online clinical decision support application Lung Cancer Assistant (LCA) for categorising patients and producing guidelinebased treatment recommendations with the help of ontological inference. LCA is aimed to assist clinicians by interpreting existing patient data and use the...
متن کاملPrediction Axillary Lymph Node Involvement Status on Breast Cancer Data
Introduction: one of the foremost usual methods for evaluating breast cancer is the removal of axillary lymph nodes (ALN) which include complications such as edema, limited hand movements, and lymph accumulation. Although studies have shown that the sentinel gland condition represents the axillary nodules context in the mammary gland, the efficacy, and safety of the guard node biopsy need to be...
متن کاملClinical decision support system, a potential solution for diagnostic accuracy improvement in oral squamous cell carcinoma: A systematic review
BACKGROUND AND AIM: Oral squamous cell carcinoma (OSCC) is a rapidly progressive disease and despite the progress in the treatment of cancer, remains a life-threatening illness with a poor prognosis. Diagnostic techniques of the oral cavity are not painful, non-invasive, simple and inexpensive methods. Clinical decision support systems (CDSSs) are the most important diagnostic technologies used...
متن کامل