Fuzzy Rule-Based Expert System for Assessment Severity of Asthma.
| Publicado en: | Journal of Medical Systems Vol. 36; no. 3; pp. 1707 - 1718 |
|---|---|
| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2012
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=117143944&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117143944 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Jun2012 vid: 36 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 117143944 117143944 117143944 10.1007/s10916-010-9631-8 117143944 ppf: 1707 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Fuzzy Rule-Based Expert System for Assessment Severity of Asthma. aug: au: Zolnoori, Maryam Zarandi, Mohammad Moin, Mostafa Teimorian, Shahram affil: Department of Industrial Engineering, Amirkabir University of Technology, Tehran Iran sug: subj: Asthma Classification Severity of Illness Expert Systems Human Quality of Life Systems Design Interviews Questionnaires pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|