📚 Volume 31, Issue 9
📋 ID: 0m1yiEK
Authors
Julia Johnson , Julia Marino, Laurent Suzuki, Olaf Hernández
Motilal Nehru National Institute of Technology, Allahabad, India
Abstract
It is well known that most of Breast cancer diagnosis characterization processes are entirely based on physician’s intuition and experience. Since diagnosis of breast cancer involves several layers of uncertainty and imprecision that makes traditional approaches inappropriate. In the present research paper we proposed a soft computing diagnostic support system for breast cancer. The proposed system is capable enough to capture ambiguous and imprecise information prevalent in breast cancer diagnosis. It is user friendly and will sharpen diagnostic skill of medical practitioners.
📝 How to Cite
Julia Johnson , Julia Marino, Laurent Suzuki, Olaf Hernández (2024). "A Soft computing Decision support system in the Diagnosis of Breast cancer". Wulfenia, 31(9).