Predicting breast cancer survivability: a comparison of three data mining methods
D Delen, G Walker, A Kadam - Artificial intelligence in medicine, 2005 - Elsevier
OBJECTIVE:: The prediction of breast cancer survivability has been a challenging research
problem for many researchers. Since the early dates of the related research, much …
problem for many researchers. Since the early dates of the related research, much …
Stage-specific predictive models for breast cancer survivability
RJ Kate, R Nadig - International journal of medical informatics, 2017 - Elsevier
Background Survivability rates vary widely among various stages of breast cancer. Although
machine learning models built in past to predict breast cancer survivability were given stage …
machine learning models built in past to predict breast cancer survivability were given stage …
Machine learning and deep learning approaches in breast cancer survival prediction using clinical data
Breast cancer survival prediction can have an extreme effect on selection of best treatment
protocols. Many approaches such as statistical or machine learning models have been …
protocols. Many approaches such as statistical or machine learning models have been …
[PDF][PDF] Predicting breast cancer survivability using data mining techniques
A Bellaachia, E Guven - Age, 2006 - cs.wcupa.edu
In this paper we present an analysis of the prediction of survivability rate of breast cancer
patients using data mining techniques. The data used is the SEER Public-Use Data. The …
patients using data mining techniques. The data used is the SEER Public-Use Data. The …
Prediction of benign and malignant breast cancer using data mining techniques
Breast cancer is the second most leading cancer occurring in women compared to all other
cancers. Around 1.1 million cases were recorded in 2004. Observed rates of this cancer …
cancers. Around 1.1 million cases were recorded in 2004. Observed rates of this cancer …
Breast cancer data analysis for survivability studies and prediction
Background Breast cancer is the most common cancer affecting females worldwide. Breast
cancer survivability prediction is challenging and a complex research task. Existing …
cancer survivability prediction is challenging and a complex research task. Existing …
Robust predictive model for evaluating breast cancer survivability
Objective Many machine learning models have aided medical specialists in diagnosis and
prognosis for breast cancer. Accuracy has been regarded as a primary measurement for the …
prognosis for breast cancer. Accuracy has been regarded as a primary measurement for the …
Predicting factors for survival of breast cancer patients using machine learning techniques
Background Breast cancer is one of the most common diseases in women worldwide. Many
studies have been conducted to predict the survival indicators, however most of these …
studies have been conducted to predict the survival indicators, however most of these …
Machine learning models in breast cancer survival prediction
M Montazeri, M Montazeri, M Montazeri… - … and Health Care, 2016 - content.iospress.com
BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate
among women. With the early diagnosis of breast cancer survival will increase from 56% to …
among women. With the early diagnosis of breast cancer survival will increase from 56% to …
Predicting breast cancer 5-year survival using machine learning: A systematic review
J Li, Z Zhou, J Dong, Y Fu, Y Li, Z Luan, X Peng - PloS one, 2021 - journals.plos.org
Background Accurately predicting the survival rate of breast cancer patients is a major issue
for cancer researchers. Machine learning (ML) has attracted much attention with the hope …
for cancer researchers. Machine learning (ML) has attracted much attention with the hope …