Abstract
About 44 treatment schemes including 40 medicines prepared from Andean medicinal herbs to cure a great variety of diseases, such as cancer and other serious illnesses, have been developed. The main problem is to choose a course of medical treatment of any disease from this variety, depending on particular criteria characterizing a patient. A classification approach may be used for this purpose. Classification is a very important aspect of decision making. This means the prescription of objects to particular classes. Classified objects are described by various criteria that can be qualitatively or quantitatively evaluated. In multicriteria environment it is hardly possible to achieve this without resorting to special techniques. The paper presents a feasibility study of using verbal classification for determining a course of medical treatment, depending on a particular disease and patient’s personality.
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Ustinovichius, L., Balcevich, R., Kochin, D., Sliesoraityte, I. (2005). The Use of Verbal Classification for Determining the Course of Medical Treatment by Medicinal Herbs. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_40
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DOI: https://doi.org/10.1007/11527770_40
Publisher Name: Springer, Berlin, Heidelberg
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