A Machine Learning Based Improved LogisticRegression Method for Prostate Cancer Diagnosis
International Journal of Emerging Trends in Engineering Research · 2020
The objective of this paper is to review and investigate machine learning methods and propose an improved Logistic regression method for Prostate Cancer (PrC) diagnosis and prediction.The paper compares proposed method with existing supervised classification techniques for a prostate cancer data set.An Improved Logistic Regression method is applied on patients vulnerable for PrC showing considerable improvement in prediction rate.The proposed methodincorporates clinical as well as tumor stages with patient ethnic characteristics.The comparative analysis of improved Logistic method show improvement on prediction accuracy rate and records a better Sensitivity and Specificity compared to other popular classification methods.