SEPHYRES: A Medical Diagnosis Model based on Semantic Pseudo-Fuzzy Plan and Radar-form Interface

Abstract

Clinical decision support systems have emerged to help users and patients. Despite the exciting developments, physicians still have not fully accepted and included the decision support systems in daily practice. Some of resistance is related to expressivity and user interface. After publishing SEPHYRES 1, a medical diagnostic assistant focused on only detailed pain descriptors, a more explicit advanced plan has been recommended to relieve above mentioned barriers. Having combined the pseudo-fuzzy and semantic layers could improve expressivity challenge in using diagnostic terms. In addition, applying visual-pain-area module in detailed granularity along with natural language processing module and radar-form interface, a new point of view for the user-interface-related problems has been addressed for future researchers.

Keywords

• Clinical information systems
• Clinical decision support
• Computer assisted decision making
• Knowledge modeling and representation
• Telemedicine and telehealth
• Computer assisted diagnosis