View in EDS HTML Full Text PDF Full Text

Using machine learning to predict severe hypoglycaemia in hospital.

Saved in:
Bibliographic Details
Title: Using machine learning to predict severe hypoglycaemia in hospital.
Authors: Fralick M; Sinai Health System and the Department of Medicine, University of Toronto, Toronto, Ontario, Canada.; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada., Dai D; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada., Pou-Prom C; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada., Verma AA; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada.; Unity Health and the Department of Medicine, University of Toronto, Toronto, Ontario, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada., Mamdani M; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada.; Unity Health and the Department of Medicine, University of Toronto, Toronto, Ontario, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.; Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
Source: Diabetes, obesity & metabolism [Diabetes Obes Metab] 2021 Oct; Vol. 23 (10), pp. 2311-2319. Date of Electronic Publication: 2021 Jul 08.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 100883645 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1463-1326 (Electronic) Linking ISSN: 14628902 NLM ISO Abbreviation: Diabetes Obes Metab Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 34142418
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Using machine learning to predict severe hypoglycaemia in hospital.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Fralick+M%22">Fralick M</searchLink>; Sinai Health System and the Department of Medicine, University of Toronto, Toronto, Ontario, Canada.; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada.<br /><searchLink fieldCode="AU" term="%22Dai+D%22">Dai D</searchLink>; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada.<br /><searchLink fieldCode="AU" term="%22Pou-Prom+C%22">Pou-Prom C</searchLink>; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada.<br /><searchLink fieldCode="AU" term="%22Verma+AA%22">Verma AA</searchLink>; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada.; Unity Health and the Department of Medicine, University of Toronto, Toronto, Ontario, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.<br /><searchLink fieldCode="AU" term="%22Mamdani+M%22">Mamdani M</searchLink>; Li Ka Shing Centre for Healthcare Analytics Research and Training, Unity Health, Toronto, Ontario, Canada.; Unity Health and the Department of Medicine, University of Toronto, Toronto, Ontario, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.; Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22100883645%22">Diabetes, obesity & metabolism</searchLink> [Diabetes Obes Metab] 2021 Oct; Vol. 23 (10), pp. 2311-2319. <i>Date of Electronic Publication: </i>2021 Jul 08.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Blackwell%22">Wiley-Blackwell </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100883645 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1463-1326 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214628902%22">14628902 </searchLink><i>NLM ISO Abbreviation: </i>Diabetes Obes Metab <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34142418
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/dom.14472
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 2311
    Titles:
      – TitleFull: Using machine learning to predict severe hypoglycaemia in hospital.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fralick M
      – PersonEntity:
          Name:
            NameFull: Dai D
      – PersonEntity:
          Name:
            NameFull: Pou-Prom C
      – PersonEntity:
          Name:
            NameFull: Verma AA
      – PersonEntity:
          Name:
            NameFull: Mamdani M
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2021 Oct
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-electronic
              Value: 1463-1326
          Numbering:
            – Type: volume
              Value: 23
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Diabetes, obesity & metabolism
              Type: main
ResultId 1