In medical problems both the information and the reasoning used by clinicians for drawing conclusions about patients’ health are inherently uncertain and vague. Fuzzy logic is a powerful tool for representing and handling this uncertainty, leading to fuzzy systems that can support decisions in medical diagnosis. In this work we propose a fuzzy rule-based system to support the expert in decision making for cardiovascular diseases that are of particular interest due to their obvious medical diagnostic importance. Preliminary experimental results on both healthy and ill people show the effectiveness of the fuzzy system in simulating the decision of the expert.
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|Titolo:||A fuzzy rule-based decision support system for cardiovascular risk assessment|
|Data di pubblicazione:||2019|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|