A Rule-based Decision Support System for Recommending Medicinal Plants

被引：0

作者：

Dardour, Sondes ^{[1
]}

Yanes, Nacim ^{[2
]}

Fehri, Hela ^{[1
]}

机构：

[1] Univ Sfax, Miracl Lab, Sfax, Tunisia

[2] La Manouba Univ, Riadi Lab, Manouba, Tunisia

来源：

SUSTAINABLE ECONOMIC GROWTH, EDUCATION EXCELLENCE, AND INNOVATION MANAGEMENT THROUGH VISION 2020, VOLS I-VII | 2017年

关键词：

Herbal medecine; decision support system; transducers; user modeling; multidimensional user profile;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

Medicinal plants play an important role in preventing and treating of human diseases. The number of symptoms, diseases, and medicinal plants is very important. Moreover, several symptoms can be treated with the same plant. Deciding about the appropriate medicinal plant is then a complex task. This paper proposes a rule-based decision support system to identify the medicinal plants that best treat their diseases and associated symptoms. The proposed decision support system is based on the use of a multidimensional user model that represents personal information of the patient, his/her allergies and chronic diseases. Experimentations of the decision support system show satisfactory results. Indeed, the obtained results give 83% of well-identified medicinal plants.

引用

页码：4204 / 4214

页数：11