Breast cancer is a common cancer among women worldwide, and early diagnosis is crucial for improving the chances of successful treatment. Decision support systems (DSS) are computer-based systems that help and guide users in making decisions. This paper discusses the characteristics of an optimal DSS for diagnosing breast cancer, including accuracy and reliability. This paper also introduces an optimal DSS for diagnosing breast cancer that should be able to provide an accurate, reliable, and comprehensive guide to users while being up-to-date, and flexible. The results obtained from the R-squared in the model succeeded in explaining 70% of the variation in the outputs. In contrast, the initial value of R-squared was 0.705091558 and then improved to 0.700018844. Such a system has the potential to improve the early diagnosis and treatment of breast cancer significantly and could ultimately save lives.