Development of Breast Cancer Diagnosis System

Abstract

Breast cancer poses a global health challenge, necessitating advanced diagnostic system for improved patient outcomes. This study introduces the Breast Cancer Diagnosis System (BCDS), employing sophisticated programming languages such as JavaScript, React and Python to develop an advanced expert system for a swift and precise breast cancer diagnosis. Emphasizing accuracy, early detection and informed decision-making. BCDS addresses the intricate nature of breast cancer diagnosis. Its comprehensive solution harnesses the capabilities of powerful programming languages to prioritize efficiency and precision, aiming to enhance the diagnostic process for healthcare professionals. Rigorous testing ensures the reliability of independent modules, logical decisions, and data validation. BCDS demonstrates promising outcomes with a user friendly landing page and clear operational guide. This system emerges as a valuable contribution to healthcare technology, addressing the complexities of breast cancer diagnosis and care, thereby signifying a significant stride in breast cancer diagnostic systems and underscoring the ongoing need for advancements in healthcare technology. In furthering this study, expanding validation studies by incorporating larger and more diverse dataset in tackling complex challenges on breast cancer would help in creating more awareness for early detection.