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Angi detect: Fuzzy Rule-Based Approach For Angina Prediction using Symptoms

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dc.contributor.author Eaton, Pipuni Lakshara
dc.date.accessioned 2021-07-04T15:10:30Z
dc.date.available 2021-07-04T15:10:30Z
dc.date.issued 2020
dc.identifier.citation Eaton, Pipuni Lakshara (2020)Angi detect: Fuzzy Rule-Based Approach For Angina Prediction using Symptoms,BSc. Dissertation Informatics Institute of Technology en_US
dc.identifier.other 2015172
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/542
dc.description.abstract Cardiovascular Diseases are the number One cause of death globally. Angina is a warning sign of a Heart Attack. Most of the people experience angina before having heart attack. Angina Pectoris does not cause permanent heart damage like heart attacks. If Angina can be detected earlier, doctor can provide the patient proper medication to cure and save life. ANGI Detect is an expert system which can predict Angina using symptoms and predict the risk level of Angina patient using risk factors. ANGI Detect collected expert knowledge from Cardiovascular experts and research publications, then created the rule base. Considering the fuzziness of Angina symptoms and risk factors, here it used FUZZY LOGICS to implement the core function of ANGI Detect. en_US
dc.subject Angina en_US
dc.subject expert systems en_US
dc.subject Fuzzy Logics en_US
dc.title Angi detect: Fuzzy Rule-Based Approach For Angina Prediction using Symptoms en_US
dc.type Thesis en_US


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