@article{oai:kutarr.kochi-tech.ac.jp:00000014,
 author = {CAO, Thang and COOPER, Eric W. and HOSHINO, Yukinobu and KAMEI, Katsuari and NGUYEN, Hoang Phuong},
 issue = {1},
 journal = {Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association},
 month = {Dec},
 note = {In this paper, we present an application of soft computing into an expert system RETS: Rheumatic Evaluation and Treatment System by Oriental Medicine (OM). Inputs are severities of observed symptoms on patients and outputs are a diagnosis of rheumatic states, its explanation and herbal prescriptions. First, after using fuzzy inferences, RETS diagnoses the most suitable rheumatic state in which the patient appears to be infected and shows explanations. Next, based on prescriptions for rheumatism learned by neural networks from skilled OM physicians and OM text books, RETS gives an oriental prescription written in suitable herbs with reasonable amounts. Finally, we describe evaluations and restrictions of RETS, and then describe our future work.},
 pages = {7--13},
 title = {An Application of Soft Computing to RETS: Rheumatic Evaluation and Treatment System by Oriental Medicine},
 volume = {11},
 year = {2006}
}