A comparative study for medical diagnosis of prostate cancer
In recent years great attention has been paid to studies on artificial intelligence since it can be applied easily to several areas like medical diagnosis, engineering and economics, among others. In this paper we present an example in medicine which aims to find the patients with high prostate can...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BİSKA Bilisim Company
2019-03-01
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| Series: | New Trends in Mathematical Sciences |
| Subjects: | |
| Online Access: | https://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=8516 |
| Summary: | In recent years great attention has been paid to studies on artificial intelligence since it can be applied easily to several areas like medical diagnosis, engineering and economics, among others. In this paper we present an example in medicine which aims to find the patients with high prostate cancer risk using a multi-criteria decision making method. Also we compare this method with another method which we studied before. We discuss which method is more convenient. Our datas are prostate specific antigen (PSA), free prostate specific antigen (fPSA), prostate volume (PV) and age factors of 78 patients from Selcuk University Meram Medicine Faculty. |
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| ISSN: | 2147-5520 2147-5520 |