title: Rough Set Based Classification rules generation for SARS Patients.
abstract: SARS is an acute infectious disease and can cause a large amount of death. Up until now we have not known it well. With the experimental results of micronutrients of 30 SARS patients and 30 non-SARS patients, using rough set theory we induce some classification rules. Attribute reduction results show that micronutrients Fe, Ca, K and Na are necessary and sufficient for classification, whereas micronutrients Zn, Cu and Mg are not necessary or are redundant. Additionally, we find that micronutrient Ca has a strong correlation to SARS. The classification results of 30 other examples show that the rough set classification method is available.
authors.affiliation: Hebai Agriculture University and the University of Science and Technology Beijing, Beijing 100083 P.R. China (Home phone: (86-10) 62391821; e-mail: honghf@mail.hebau.edu.cn).
authors.forename: Feng
authors.initials: F
authors.lastname: Honghai
authors.forename: Chen
authors.initials: C
authors.lastname: Guoshun
authors.forename: Wang
authors.initials: W
authors.lastname: Yufeng
authors.forename: Yang
authors.initials: Y
authors.lastname: Bingru
authors.forename: Chen
authors.initials: C
authors.lastname: Yumei