Diabetes care: Inspired by humans, powered by machines.
| Publicado en: | Diabetes & Primary Care Vol. 21; no. 2; pp. 43 - 45 |
|---|---|
| Autores principales: | , |
| Formato: | tables/charts Journal Article |
| Publicado: |
SB Communications Group, A Schofield Media Company
2019
|
| 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=136493730&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136493730 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14668955 IS1 jtl: Diabetes & Primary Care issn: 14668955 maglogo: N pubinfo: dt: 2019 vid: 21 iid: 2 pid: 13783 pub: SB Communications Group, A Schofield Media Company artinfo: ui: 136493730 136493730 136493730 136493730 ppf: 43 ppct: 2 formats: fmt: @attributes: type: P tig: atl: Diabetes care: Inspired by humans, powered by machines. aug: au: Meetoo, Danny D. Rylance, Rebecca affil: Programme Leader, MSc Diabetes Care, University of Salford sug: subj: Diabetes Mellitus Prevention and Control Artificial Intelligence Health Care Delivery Quality of Health Care Disease Management Methods Blood Glucose Monitoring Methods Machine Learning Deep Learning Professional-Patient Relations pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|