A Review of Multi-Phase Intelligent System (MPIS) for Diagnosing and Screening Malignant Breast Cancer
Sambit Ranjan Pattanaik, Rakesh Kumar Sen · 2023
The most significant cause of cancer-related fatalities among women globally is breast cancer. Expert systems use artificial intelligence and machine learning techniques to analyze patient data and generate diagnosis, treatment planning, and prognosis recommendations. This paper discusses the potential benefits of expert systems for breast cancer, including improved accuracy and consistency, reduced time and cost, and increased access to expertise. However, the paper also highlights the challenges and limitations of developing and applying expert systems, including limited data availability, ethical and legal issues, and the need to ensure that expert systems complement, rather than replace, human expertise. Further research is needed to address the challenges and limitations of developing and applying expert systems for breast cancer and to optimize the use of these systems to improve patient outcomes and reduce healthcare costs.