“…Montani et al [93] proposed a traditional CBR system for diabetes care with the accuracy of 83%. The 4DSS hybrid CBR-RBR (Rule Based Reasoning) system proposed by Marling [89] has retrieval accuracy of 80%.…”
Section: A Comparison Between the Proposed And Other Cbr Systemsmentioning
confidence: 99%
“…Traditional CBR Medical System implemented on our dataset Diabetes diagnosis 57.14 T-IDDM [93] Diabetes treatment and monitoring using conventional insulin therapy 84 Marling et al [105] Type 1 diabetes management in insulin pump therapy 77.5 Balakrishnan et al [106] Predictive system for diabetic retinopathy 85 Bellazzi et al [107] Diabetes therapy 90 Marling et al [89] 4DSS system for diabetes diagnosis 80…”
“…Montani et al [93] proposed a traditional CBR system for diabetes care with the accuracy of 83%. The 4DSS hybrid CBR-RBR (Rule Based Reasoning) system proposed by Marling [89] has retrieval accuracy of 80%.…”
Section: A Comparison Between the Proposed And Other Cbr Systemsmentioning
confidence: 99%
“…Traditional CBR Medical System implemented on our dataset Diabetes diagnosis 57.14 T-IDDM [93] Diabetes treatment and monitoring using conventional insulin therapy 84 Marling et al [105] Type 1 diabetes management in insulin pump therapy 77.5 Balakrishnan et al [106] Predictive system for diabetic retinopathy 85 Bellazzi et al [107] Diabetes therapy 90 Marling et al [89] 4DSS system for diabetes diagnosis 80…”
“…The details are presented elsewhere [25] The automated decision support activity implemented by the MU relies on the Therapy Advisor module. This module exploits the cooperation between two tools that implement two different decision support techniques: CaseBased Reasoning (CBR) [26,27] and Rule-Based Reasoning (RBR) [28]. Moreover, by exploiting the negotiation functionality provided within the MU Web-based environment, we have integrated the CBR and the RBR decision support facilities [29], thus implementing a multi-modal reasoning tool.…”
Section: T-iddm Architectural and Technical Issuesmentioning
“…CBR is an artificial intelligence technique that solves newly encountered problems by applying the solutions learned from solving similar problems encountered in the past (20). CBR tools have been developed to aid physicians in the management of T1DM in clinic and for patient selfmanagement (21)(22)(23)(24)(25). The ABC4D system utilises continuous glucose monitoring (CGM) data and aims to provide improved flexibility and adaptability compared to existing bolus calculators.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.