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dc.contributor.authorLacanlale, Edward Francis-
dc.date.accessioned2019-08-16T17:13:02Z-
dc.date.available2019-08-16T17:13:02Z-
dc.date.issued2018-06-
dc.identifier.urihttp://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/453-
dc.description.abstractCardiovascular disease is the Philippines' top cause of mortality. CVD typically results to high blood pressure and enlargement of the heart or cardiomegaly. HeartSmart is a web-based decision support tool. It assesses the patient's risk of heart enlargement with chest x-ray image as an input through the use of a convolutional neural network. The trained model in the system gives an accuracy of 71%, which can be further improved before it can be used as a decision support tool for detecting cardiomegaly in patients.en_US
dc.language.isoenen_US
dc.subjectcardiomegalyen_US
dc.subjectconvolutional neural networken_US
dc.subjectdecision support systemen_US
dc.titleHeartSmart: A Clinical Decision Support System for Cardiomegaly Detection in Chest X-ray Images using Convolutional Neural Networken_US
dc.typeThesisen_US
Appears in Collections:Computer Science SP

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