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Full-Text Articles in Physical Sciences and Mathematics
Diagnosing Breast Cancer With A Neural Network, John Cullen
Diagnosing Breast Cancer With A Neural Network, John Cullen
Undergraduate Journal of Mathematical Modeling: One + Two
Fine needle aspiration (FNA) is a minimally invasive biopsy technique that can be used to successfully diagnose types of cancer, including breast cancer. Immediately, it is difficult for a human to spot any trends in the cell level data gathered during a fine needle aspiration procedure. One way to predict the type of tumor a patient has, is to use a computer to develop a mathematical model based on known data. This project utilizes the Diagnostic Wisconsin Breast Cancer Database (DWBCDB) to create an accurate mathematical model that predicts the type of a patient’s tumor (Malignant or Benign). A neural …
Survival Analysis - Breast Cancer, Minh Hoang Pham
Survival Analysis - Breast Cancer, Minh Hoang Pham
Undergraduate Journal of Mathematical Modeling: One + Two
In this study we used the parametric survival approach to analyze the survival time of African American breast cancer patients. In research about the survival time of patients, the Cox Proportional Hazard model, a semi-parametric method, is primarily used, but this approach does not rely on the distributional assumptions. The parametric method is more consistent with a theoretical approach compared to a semi-parametric approach. We observe that the survival time of African American breast cancer patients follows the Weibull Probability Distribution. First, we fitted the model to represent the survival ability of the general population (African American women diagnosed with …