earticle

논문검색

Conformal Prediction Technique to Predict Breast Cancer Survivability

초록

영어

Breast cancer is a common disease around the world. Much work has been done to predict the survivability of breast cancer patients. While the prediction is an information that is important in many applications, the reliability of an individual classification result, is of great interest in many application areas including bioinformatics. In this paper, we apply the Conformal Prediction algorithm to the classification results of four data mining algorithms in order to eliminate the non-reliable predictions and enhance the overall classification results. The proposed technique shows an enhancement in the effectiveness of the classification results.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Materials and Method
  3.1 Dataset Preparation
  3.2 Methodology
 4. Experiments and Results
 5. Conclusions
 References

저자정보

  • Loai M. Alnemer The University of Jordan, Amman, Jordan
  • Lama Rajab The University of Jordan, Amman, Jordan
  • Ibrahim Aljarah The University of Jordan, Amman, Jordan

참고문헌

자료제공 : 네이버학술정보

    ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

    0개의 논문이 장바구니에 담겼습니다.