A two-stage modeling approach for breast cancer survivability prediction

Z Sedighi-Maman, A Mondello - International Journal of Medical Informatics, 2021 - Elsevier
Background Despite the increasing number of studies in breast cancer survival prediction,
there is little attention put toward deceased patients and their survival lengths. Moreover …

An iterated Laplacian based semi-supervised dimensionality reduction for classification of breast cancer on ultrasound images

X Liu, J Shi, S Zhou, M Lu - 2014 36th Annual International …, 2014 - ieeexplore.ieee.org
The dimensionality reduction is an important step in ultrasound image based computer-
aided diagnosis (CAD) for breast cancer. A newly proposed l 2, 1 regularized correntropy …

Ceiling improvement on breast cancer prediction accuracy using unary KNN and binary LightGBM stacked ensemble learning

A Singh, V Tiwari, AN Tentu - … of the Seventh International Conference on …, 2022 - Springer
The employment of data mining, granular knowledge exploration and machine learning
approaches in the medical field (several of diseases in bioinformatics) are proven to be …

Open vs. close source decision tree algorithms: comparing performance measures of accuracy, sensitivity and specificity

S Khan, H Wimmer, LM Powell - 2017 - digitalcommons.georgiasouthern …
Data Science research is trending due the abundance of publicly available data and open
source and close (proprietary) tools available. Currently, an abundant amount of research …

Machine Learning Applied to survival prediction of elderly cancer patients: Systematic Review

TB Lacerda, A Medeiros, RB Perez… - 2020 15th Iberian …, 2020 - ieeexplore.ieee.org
Machine Learning (ML) is being successfully used in many science areas, medicine being
no exception. On the other hand, cancer is a heterogeneous disease consisting of various …