An Efficient Data Mining Techniques - Multi-Objective KNN Algorithm to Predict Breast Cancer

Abstract

Breast cancer becomes most important foundation of mortality among women. The convenience of medical related dataset and data investigation support to extracting unidentified pattern in medical related or health related dataset. The objective of this research work is is to develop a health care prediction tool predicts the occurrence of the disease at near the beginning level of the criteria by analyzing the collected data set attributes to extract the disease exact level from the medical related information. The projected multi-objective KNN machine learning algorithm (classification) confirms that the highest accuracy (97.16%) is achieved compared to existing decision tree and Random Forest Techniques.