Publications

@article{cueto-lopez_comparative_2019,

title = {A comparative study on feature selection for a risk prediction model for colorectal cancer},

author = {Nahúm Cueto-López and Maria Teresa García-Ordás and Verónica Dávila-Batista and Víctor Moreno and Nuria Aragonés and Rocío Alaiz-Rodríguez},

url = {https://arxiv.org/abs/2402.05293},

year  = {2019},

date = {2019-01-01},

journal = {Computer methods and programs in biomedicine},

volume = {177},

pages = {219–229},

abstract = {The aim of this study is to evaluate risk prediction models to identify individuals at higher risk of developing colorectal cancer, focusing on feature selection methods. This is crucial for improving model performance, avoiding overfitting, and highlighting key risk factors. Additionally, the stability of feature selection/ranking methods is analyzed using conventional metrics and a visual approach proposed in this study.},

note = {Publisher: Elsevier},

keywords = {algorithm stability, colorectal cancer, feature selection, ranking methods, risk prediction models},

pubstate = {published},

tppubtype = {article}

}

@article{alaiz_rodriguez_comparative_2019,

title = {A comparative study on feature selection for a risk prediction model for colorectal cancer},

author = {Rocío Alaiz Rodríguez and Nahúm Cueto López and Maria Teresa García Ordás and Verónica Dávila Batista and Víctor Moreno and Nuria Aragonés},

url = {https://arxiv.org/abs/2402.05293},

year  = {2019},

date = {2019-01-01},

journal = {Computer methods and programs in biomedicine},

volume = {177},

pages = {219–229},

abstract = {The aim of this study is to evaluate risk prediction models to identify individuals at higher risk of developing colorectal cancer, focusing on feature selection methods. This is crucial for improving model performance, avoiding overfitting, and highlighting key risk factors. Additionally, the stability of feature selection/ranking methods is analyzed using conventional metrics and a visual approach proposed in this study.},

note = {Publisher: Elsevier},

keywords = {algorithm stability, colorectal cancer, feature selection, ranking methods, risk prediction models},

pubstate = {published},

tppubtype = {article}

}