| Autor: |
Yaser AbdulAali JASIM, Mustafa G. SAEED |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 7, Iss 3, Pp 99-114 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2255-2863 |
| DOI: |
10.14201/ADCAIJ20187399114 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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