dc.contributor.author | Jasim, Yaser Abdulaali | |
dc.contributor.author | Saeed, Mustafa G. | |
dc.date.accessioned | 2019-02-05T12:03:33Z | |
dc.date.available | 2019-02-05T12:03:33Z | |
dc.date.issued | 2018-09-21 | |
dc.identifier.citation | ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7 (2018) | |
dc.identifier.issn | 2255-2863 | |
dc.identifier.uri | http://hdl.handle.net/10366/139228 | |
dc.description.abstract | This paper builds a data mining tool via a classification method using Multi-Layer Perceptron (MLP) with Backpropagation learning method and an algorithm of feature selection along with biomedical testing values for diagnosing heart disease. Addition to that, developing a prototype for heart disease diagnosing with a friendly-user graphical interface (GUI). The purpose to construct this software is that; clinical prosopopoeia is done in any event by doctor’s experience. Despite that, some cases are reported negative diagnosis and treatment; therefore, patients are asked to take a number of tests for diagnosis. Moreover, not all the tests contribute towards an effective diagnosis of a disease, and by using data mining approach to diagnose heart disease that supports the doctors to make more efficient and subtle decisions. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Ediciones Universidad de Salamanca (España) | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ | |
dc.subject | Computación | |
dc.subject | Informótica | |
dc.subject | Computing | |
dc.subject | Information Technology | |
dc.title | Developing a Software for Diagnosing Heart Disease via Data Mining Techniques | |
dc.type | info:eu-repo/semantics/article | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess |
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