Determining the Effective Factors in the Incidence of Gastric Cancer by Using Data Mining Approach
Background and Aim: Gastric cancer is the second leading cause of cancer death in the world. Due to the prevalence of the disease and the high mortality rate of gastric cancer in Iran, the factors affecting the development of this disease should be taken into account. In this research, two data mini...
Saved in:
Main Authors: | Seyed Abbas Mahmoodi (Author), Kamal Mirzaie (Author), Seyed Mostafa Mahmoodi (Author) |
---|---|
Format: | Book |
Published: |
Tehran University of Medical Sciences,
2017-09-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting the incidence of COVID-19 using data mining
by: Fatemeh Ahouz, et al.
Published: (2021) -
Design of Clinical Decision Support System to Diagnose Breast Cancer: An Approach Using Data Mining
by: Mostafa Shanbehzadeh, et al.
Published: (2022) -
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study
by: Ayyoubzadeh, Seyed Mohammad, et al.
Published: (2020) -
Factors Affecting the Survival of Patients with Gastric Cancer Undergone Surgery at Iran Cancer Institute: Univariate and Multivariate Analyses.
by: Ali Zare, et al.
Published: (2014) -
Computational Approaches in Theranostics: Mining and Predicting Cancer Data
by: Tânia F. G. G. Cova, et al.
Published: (2019)