Dec 7, 2021 · This study constructed a model (MA) combining min-redundancy and max-relevance algorithm(mRMR) and artificial neural network, which could not ...
This study constructed a model (MA) combining min-redundancy and max-relevance algorithm(mRMR) and artificial neural network, which could not only predict ...
A combination of multiple feature selection and classification models is used to classify normal vs cancer samples. In the first stage, the significant miRNAs ...
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What is the artificial neural network for breast cancer diagnosis?
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What is the 10 year survival rate for breast cancer?
Can you survive 20 years after breast cancer?
An artificial neural network is very accurate in the 5-, 10- and 15-year breast-cancer-specific survival prediction.
Missing: mRMR Feature Selection
May 10, 2023 · In this study, we propose an ensemble model for breast cancer survivability prediction (EBCSP) that utilizes multi-modal data and stacks the output of multiple ...
The goal is to develop predictive model capable of accurately predicting patient outcomes and guiding personalized treatment strategies, thereby advancing ...
A Breast Cancer Patients' Survival Prediction Model Using mRMR Feature Selection with Artificial Neural Network. Conference Paper. Oct 2021. Wei Xing · Kangping ...
Jul 8, 2022 · The results show that the IAOA-DBN model can effectively predict the five-year survival rate of patients and provide a reference for the clinical judgment of ...
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers.
Sep 7, 2023 · Breast cancer is the most prevalent kind of cancer among women and there is a need for a reliable algorithm to predict its prognosis.