A case base reasoning framework to author personalized health maintenance information

Abstract

We present a Personalized Health Information Generation and

A Multi-granularity & Fuzzy CBR Based Method for Price Forecast

“…In recent years, CBR has become an important reasoning technology in artificial intelligence with applications in marine industry, voltage distribution networks, credit risk evaluations, health maintenance etc. [6][7][8][9][10].…”

A CBR Based Prediction Method for Web Aquatic Products Prices

“…After 30 years of development, CBR has been widely applied in many domains. For example, Ye Shi-ren proposed a multi-strategies center fisheries prediction method based on CBR [3]; Zhang Zhi-yan and others combined CBR reasoning mechanism with load forecasting and developed the electric load forecasting system [4]; Yu Yi-xin constructed a forecasting system based on CBR using fuzzy neural network to solve the short-term nodes load forecasting of the Medium Voltage Distribution Network [5]; Feng Jian-feng established an intelligent HABs (Harmful Algal Blooms) early-warning system based on CBR [6]; Sun Sheng-Tao and others introduced a credit risk evaluation system of financial organization based on CBR and RBR [7]; Canadian Abidi and others presented a personalized health information generation and delivery system [8]; Iranian Amani presented a case-based reasoning method for alarm filtering and correlation in telecommunication networks [9]. Currently, combining diversified technology with CBR to resolve more practical issues is the hotspot of CBR research.…”

Integrating CBR into the health care organization

“…Representatives for Tutoring systems are PlanAlyzer that provides knowledge about anemia and coronary heart diseases and NeurologyTrainer that instructs users in the neurological domain. PHIGDS [8], whose idea is the provision of an "intelligent" Web-portal, can be seen as a configuration system.…”