This work intends to focus on the logistic regression model refinement due to its sensitivity and specificity which concepts are very crucial in the early stages of lung cancer detection. In this way, ...

The detection of breast cancer type from the Wisconsin CSV dataset is described in this paper. One of the most frequent malignancies in women is breast cancer. An earlier diagnosis will result in the ...

Breast cancer detection model comparison between Logistic Regression and Random Forest - Dananjali/Breast-Cancer-Detection-Model-Comparison. Skip to content. Navigation Menu Toggle navigation. Sign in ...

A machine learning model for detecting breast cancer using logistic regression, evaluated with precision, recall, and F1-score metrics. - KinLi0424/Breast-Cancer-Detection-ML-Model ...

In a case-control study nested within a large primary care network in England, LR performed as well as RF for pancreas cancer classification. 9 Conversely, an EHR-based study from two Boston hospitals ...

We developed a modified logistic-regression model for lung-cancer prediction in the PLCO control group of smokers. This model was referred to as PLCO M2012 to distinguish it from its predecessor ...