SMOTE-SMO-based expert system for type II diabetes detection using PIMA dataset.
| Publicado en: | International Journal of Diabetes in Developing Countries Vol. 42; no. 2; pp. 245 - 254 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2022
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| 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=157817330&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157817330 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09733930 259E jtl: International Journal of Diabetes in Developing Countries issn: 09733930 maglogo: N pubinfo: dt: Apr2022 vid: 42 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 157817330 151947173 157817330 157817330 10.1007/s13410-021-00969-x 157817330 ppf: 245 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: SMOTE-SMO-based expert system for type II diabetes detection using PIMA dataset. aug: au: Naz, Huma Ahuja, Sachin affil: Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India sug: subj: Diabetes Mellitus, Type 2 Diagnosis Early Diagnosis Algorithms Utilization Data Mining Methods Pima Persons Human Female Mobile Applications Female pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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