| Autor: |
Carbonell, Jaime G., Siekmann, Jörg, Nguyen, Ngoc Thanh, Grzech, Adam, Howlett, Robert J., Jain, Lakhmi C., Mateo, Romeo Mark A., Cervantes, Louie F., Yang, Hae-Kwon, Lee, Jaewan |
| Zdroj: |
Agent & Multi-Agent Systems: Technologies & Applications; 2007, p795-804, 10p |
| Abstrakt: |
Recent research topics in healthcare including intelligent decision support services, expert medical services and autonomous management are based on multi-agent systems. The cooperation of these software agents provides efficient monitoring, analyzing, and managing the data of patient where abnormal patterns are detected to have an advance treatment and prevent loss of life. In this paper, a framework for ubiquitous healthcare based on multi-agent is presented. This paper proposes a mobile agent for diagnosis support in ubiquitous healthcare. The expert mobile agent (EMA) classifies the data of patient by using neuro-fuzzy algorithm for consultation report. A pre-processing method based on the profile of an expert is used to filter the data from the history of patient. Result of neuro-fuzzy from cross-validation test shows a high accurate classification in data compared to other highly accurate classifiers. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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