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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mortezagholi, Asghar, Khosravizadeh, Omid, Menhaj, Mohammad Bagher, Shafigh, Younes, Kalhor, Rohollah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2019
Materias:
Research Article
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

Internet

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

Ejemplares similares