An Integrated Knowledge Base System Architecture for Histopathological Diagnosis of Breast Diseases

Abstract

Abstract-The histopathological d iagnosis of breast diseases requires highly trained and experienced experts, and often strains pathologists' cognitive capabilit ies. Accurate and timely d iagnosis of breast diseases is essential for the appropriate management of the patients.The paper presents a knowledge base system that uses a comb ination of rule -based and case-based techniques to achieve the diagnosis. Rule-based systems handle problems with well-defined knowledge bases this limits the flexibility of such system. Casebased reasoning has been adopted to overcome this inherent weakness of rule-based systems by incorporating previous cases in the generation of new cases to improve the performance of the system. The result of this research shows that the system is capable of assisting pathologists in making accurate, consistent and timely diagnoses. The system also aid in eliminating errors of o mission that have been viewed as a prominent cause of medical errors . In conclusion this paper investigated the histological features used in the diagnosis of breast diseases and proposed an integrated knowledge base system based on the features.

A Maintenance and Troubleshooting Method Based on Integrated Information and System Principles

“…Fault diagnosis based on signal processing is unnecessary for the establishment of precision but is widely applied in the field of nonlinear systems [3], [4]. Compared with methods based on signal processing, a fault diagnostic method based on knowledge can greatly improve decision-making correctness in the diagnostic process because it introduces information about the diagnostic object and has certain selfreasoning abilities [5].…”