Abstract
Diagnosis decision making in medicine needs to take into account the patient’s clinical parameters, the context of illness and the medical knowledge of the physician to discuss and confirm a diagnosis. More and more decision support systems have to integrate different types of knowledge bases including the clinical practice guidelines. Fuzzy Cognitive Maps is a soft computing technique capable of dealing with situations including uncertain descriptions using similar procedure such as human reasoning does. FCM are limited to the representation of simple monotonic causal relations between concepts, however Rule Based Fuzzy Cognitive Maps start from a traditional fuzzy architecture with feedback in order to overcome FCM weaknesses. We used these two methods for modelling knowledge of Clinical Practice Guidelines and we used Semantic Web tools to implement them. We identified 25 clinical concepts and 13 diagnosis concepts. We defined 320 rules to implement FCM and 623 rules for RBFCM. 92% of the diagnoses proposed by the FCM and 94% of the diagnoses proposed by the RBFCM were correct.
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Douali, N., Jaulent, MC. (2011). Utilisation du web sémantique dans le raisonnement médical diagnostique. Domaine d’application: Les infections des voies urinaires de l’adulte. In: Staccini, P.M., Harmel, A., Darmoni, S.J., Gouider, R. (eds) Systèmes d’information pour l’amélioration de la qualité en santé. Informatique et Santé, vol 1. Springer, Paris. https://doi.org/10.1007/978-2-8178-0285-5_6
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DOI: https://doi.org/10.1007/978-2-8178-0285-5_6
Publisher Name: Springer, Paris
Print ISBN: 978-2-8178-0284-8
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