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Machine Learning for Breast Cancer Diagnosis by Saroj Neupane is a document available to read on EtoBox.

What is Machine Learning for Breast Cancer Diagnosis about?

This research evaluates machine learning algorithms for breast cancer prediction, addressing the limitations of current diagnostic methods that often yield false positives and negatives. By comparing various algorithms such as SVM, ANN, and Random Forest, the study aims to enhance diagnostic accuracy and robustness, ultimately contributing to the development of more reliable clinical tools. The research framework includes data preprocessing, algorithm implementation, and performance evaluation using key met

Author

Saroj Neupane

Language

EN