Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 60; no. 12; pp. 3461 - 3475 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2022
|
| 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=160112192&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160112192 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2022 vid: 60 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 160112192 159519048 10.1007/s11517-022-02674-1 160112192 ppf: 3461 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients. aug: au: Fadja, Arnaud Nguembang Fraccaroli, Michele Bizzarri, Alice Mazzuchelli, Giulia Lamma, Evelina affil: Department of Mathematics and Computer Science, University of Ferrara, Via Nicolò Machiavelli 30, 44121, Ferrara, Italy sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|