The iOSC3 System: Using Ontologies and SWRL Rules for Intelligent Supervision and Care of Patients with Acute Cardiac Disorders.
Marcos Martínez RomeroJosé Manuel Vázquez-NayaJavier PereiraMiguel Pereira LoureiroAlejandro PazosGerardo BañosPublished in: Comput. Math. Methods Medicine (2013)
Keyphrases
- owl ontologies
- rule language
- rule engine
- semantic web
- semantic web technologies
- production rules
- normal subjects
- heart disease
- clinical decision support systems
- neurological disorders
- owl dl
- heart failure
- medical care
- myocardial infarction
- ontology languages
- home care
- semantic web rule language
- medical knowledge
- business rules
- patient groups
- clinically relevant
- chronic disease
- spect images
- cardiovascular disease
- acute coronary syndrome
- domain ontology
- patient data
- description logics
- cardiac surgery
- decision support system
- physiological data
- rule base
- clinical data
- semantic annotation
- health care
- primary care
- healthy volunteers
- patient specific
- knowledge representation
- medical diagnosis
- rule sets
- medical data
- background knowledge
- left ventricle
- high risk
- knowledge management
- cardiac arrhythmias
- knowledge base