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Make Intelligent of Gastric Cancer Diagnosis Error in Qazvin’s Medical Centers: Using Data Mining Method
OBJECTIVE: Gastric cancer is one of the most common types of cancers, which will result in irreparable harm in the case of misdiagnosis or late diagnosis. The purpose of this study is to investigate the capability of data mining techniques and disease risk factor characteristics to predict and diagn...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
West Asia Organization for Cancer Prevention
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6976843/ https://www.ncbi.nlm.nih.gov/pubmed/31554353 http://dx.doi.org/10.31557/APJCP.2019.20.9.2607 |