Comparison of four data mining algorithms for predicting colorectal cancer risk

M Shanbehzadeh, R Nopour… - Journal of Advances in …, 2021 - journal.zums.ac.ir
Materials and Methods: This study was performed in 468 subjects (194 CRC patients and
274 non-CRC cases). We used the CRC dataset from the Imam Hospital, Sari, Iran. The Chi …

Estimation of risk factors associated with colorectal cancer: an application of knowledge discovery in databases

F Firat, AK Arslan, C Colak… - Kuwait Journal of …, 2016 - journalskuwait.org
Colorectal cancer is one of the first reasons for death due to cancer in the world. The goal of
this study is to predict important risk factors of colorectal cancer (CRC) by knowledge …

A reliable method for colorectal cancer prediction based on feature selection and support vector machine

D Zhao, H Liu, Y Zheng, Y He, D Lu, C Lyu - Medical & biological …, 2019 - Springer
Colorectal cancer (CRC) is a common cancer responsible for approximately 600,000 deaths
per year worldwide. Thus, it is very important to find the related factors and detect the cancer …

[HTML][HTML] Data mining-based model and risk prediction of colorectal cancer by using secondary health data: a systematic review

H Liang, L Yang, L Tao, L Shi, W Yang… - Chinese Journal of …, 2020 - ncbi.nlm.nih.gov
Objective Prevention and early detection of colorectal cancer (CRC) can increase the
chances of successful treatment and reduce burden. Various data mining technologies have …

[HTML][HTML] Developing a clinical decision support system based on the fuzzy logic and decision tree to predict colorectal cancer

R Nopour, M Shanbehzadeh… - Medical journal of the …, 2021 - ncbi.nlm.nih.gov
Background: Colorectal Cancer (CRC) is the most prevalent digestive system-related cancer
and has become one of the deadliest diseases worldwide. Given the poor prognosis of …

[HTML][HTML] Comparison of basic and ensemble data mining methods in predicting 5-year survival of colorectal cancer patients

MA Pourhoseingholi, S Kheirian, MR Zali - Acta Informatica Medica, 2017 - ncbi.nlm.nih.gov
Methods: The CRC dataset from The Shahid Beheshti University of Medical Sciences
Research Center for Gastroenterology and Liver Diseases were used for prediction and …

[PDF][PDF] A rule based classification model to predict colon cancer survival

R Abbasi, M Montazeri, M Zare - 1th Afzalipour International Medical …, 2015 - core.ac.uk
Materials and Methods: We use a dataset with four attributes that include the records of 570
patients in which 327 Patients (57.4%) and 243 (42.6%) patients were males and females …

A predictive model for classifying colorectal cancer using principal component analysis

MO Arowolo, HE Aigbogun, PE Michael… - Data Science for …, 2023 - Elsevier
Colorectal cancer (CRC) is the second leading cause of cancer deaths in both genders in
the United States. Also, smoking, an unhealthy lifestyle, excessive alcohol intake, physical …

[HTML][HTML] Development and validation of colorectal cancer risk prediction tools: A comparison of models

DT Mülder, R van den Puttelaar, RGS Meester… - International Journal of …, 2023 - Elsevier
Background Identification of individuals at elevated risk can improve cancer screening
programmes by permitting risk-adjusted screening intensities. Previous work introduced a …

Machine Learning for Colorectal Cancer Risk Prediction

L Zheng, E Eniola, J Wang - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Colorectal cancer is the third most prevalent cancer and the second most common cause of
cancer deaths in the United States. Screening is one of the most powerful tools for colorectal …