Abstract
<p>Chest pain is considered to be one of the most important prognoses to diagnose several heart and chest diseases. This domain of knowledge suffers from vague information especially when non specialist people interact with it. This paper presents a consultation system to be used by patients with chest pain or discomfort in order to diagnose the cause of the pain and provide suitable recommendations. The system consists of two subsystems. Determining the caused of the pain is the first stage based on the fuzzy concepts and fuzzy OWL to deal with vague information. Depending on the result of the first stage, the second stage provides recommendations to be accomplished by the patient to save their lives according to SWRL and Ontology engineering. The system has been tested using 55 patients to validate its sensitivity and specificity. The results were compared with the specialists’ opinion and the results emphasized the efficiency and the reliability of the system.</p>
Highlights
According to National Health Services (NHS) in the UK, chest pain (CP) can be caused by several causes, each of which should be treated in different way (NHS, 2015)
In most cases of CP, the fast and accurate response in diagnosing the cause can save the patient’s life, while in other cases the pain can be caused by a non killing matter and can be treated by having some rest. This is a great motivation for us to develop a user friendly, easy to use consultation system that can be used by the patients themselves or their carers to specify the level of CP and to suggest a suitable treatment according to the diagnosing process
Ontology modelling is the process of designing classes, relationships, and properties to represent a specific field of knowledge
Summary
According to National Health Services (NHS) in the UK, chest pain (CP) can be caused by several causes, each of which should be treated in different way (NHS, 2015). In most cases of CP, the fast and accurate response in diagnosing the cause can save the patient’s life, while in other cases the pain can be caused by a non killing matter and can be treated by having some rest This is a great motivation for us to develop a user friendly, easy to use consultation system that can be used by the patients themselves or their carers to specify the level of CP and to suggest a suitable treatment according to the diagnosing process. Most of the existing systems require the direct and continuous interaction between the specialist and the system to answer the patient’s questions or to diagnose the illness according to the provided symptoms This process can be interrupting workflow and time consuming.
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