Machine learning approach for breast cancer prognosis prediction-Reference-Cited by-同舟云学术

Machine learning approach for breast cancer prognosis prediction

Published:2020 Issue: Volume: Page:41-68
ISSN:
Container-title:Computational Modeling in Bioengineering and Bioinformatics
language:
Short-container-title:

Author:

Andjelkovic Cirkovic Bojana R.

Publisher

Elsevier

Reference67 articles.

1. Breast cancer prognosis by combinatorial analysis of gene expression data;Alexe;Breast Cancer Res.,2006

2. The Eighth Edition AJCC Cancer Staging Manual: continuing to build a bridge from apopulation-based to a more “personalized” approach to cancer staging;Amin;CA Cancer J. Clin.,2017

3. An intelligent system for estimation of survival rate, relapse and metastasis—a role in individualization of breast cancer therapy;Andjelkovic-Cirkovic,2015

4. Incremental Wrapper-based subset Selection with replacement: an advantageous alternative to sequential forward selection;Bermejo,2009

5. Improving breast cancer survival analysis through competition-based multidimensional modeling;Bilal;PLoS Comput. Biol.,2013

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