Abstract
With the unfriendly wellbeing impacts of antibiotics and chemical drugs, medical herbalism has been a resurgence of interest in last years. Thus, medicinal plants are capable of treating disease and improving wellbeing, frequently without any significant side effects. This paper presents a Rule-based decision support tool aimed at helping users to identify accurate medicinal plants according to their symptoms taking into account the contraindications of each plant. This tool is based on IF-THEN rules, dictionaries and transducers. It permits the identification of the accurate medicinal plants, the recognition of medicinal plant properties and it incorporates user feedback to refine its results. Dictionaries and transducers are implemented in NooJ linguistic platform and applied in JAVA application with the command-line program noojapply. Experimentations of the Rule-based decision support tool show interesting results. Performance is satisfactory since our tool could act as a consultant. Furthermore, the functionality can be extended to other medicinal plants in the aim to treat the whole body health system.
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Dardour, S., Fehri, H. (2018). RDST: A Rule-Based Decision Support Tool. In: Silberztein, M., Atigui, F., Kornyshova, E., Métais, E., Meziane, F. (eds) Natural Language Processing and Information Systems. NLDB 2018. Lecture Notes in Computer Science(), vol 10859. Springer, Cham. https://doi.org/10.1007/978-3-319-91947-8_24
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DOI: https://doi.org/10.1007/978-3-319-91947-8_24
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