Using real-time machine learning to prevent in-hospital hypoglycemia: a prospective study.
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| Title: | Using real-time machine learning to prevent in-hospital hypoglycemia: a prospective study. |
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| Authors: | Fralick M; Division of General Internal Medicine, Sinai Health System, ON, Toronto, Canada. mike.fralick@mail.utoronto.ca.; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada. mike.fralick@mail.utoronto.ca., Debnath M; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada., Pou-Prom C; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada., O'Brien P; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada., Perkins BA; Division of Endocrinology, Sinai Health System, Toronto, ON, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada., Carson E; Division of Vascular and Cardiovascular Surgery, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada., Khemani F; Division of Vascular and Cardiovascular Surgery, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada., Mamdani M; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada. |
| Source: | Internal and emergency medicine [Intern Emerg Med] 2023 Jan; Vol. 18 (1), pp. 325-328. Date of Electronic Publication: 2022 Nov 11. |
| Publication Type: | Letter; Comment |
| Journal Info: | Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36369632 AccessLevel: 2 PubType: Editorial & Opinion PubTypeId: editorialOpinion PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using real-time machine learning to prevent in-hospital hypoglycemia: a prospective study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Fralick+M%22">Fralick M</searchLink>; Division of General Internal Medicine, Sinai Health System, ON, Toronto, Canada. mike.fralick@mail.utoronto.ca.; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada. mike.fralick@mail.utoronto.ca.<br /><searchLink fieldCode="AU" term="%22Debnath+M%22">Debnath M</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Pou-Prom+C%22">Pou-Prom C</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22O'Brien+P%22">O'Brien P</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Perkins+BA%22">Perkins BA</searchLink>; Division of Endocrinology, Sinai Health System, Toronto, ON, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Carson+E%22">Carson E</searchLink>; Division of Vascular and Cardiovascular Surgery, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Khemani+F%22">Khemani F</searchLink>; Division of Vascular and Cardiovascular Surgery, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Mamdani+M%22">Mamdani M</searchLink>; Data Science and Advanced Analytics, Unity Health Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101263418%22">Internal and emergency medicine</searchLink> [Intern Emerg Med] 2023 Jan; Vol. 18 (1), pp. 325-328. <i>Date of Electronic Publication: </i>2022 Nov 11. – Name: TypePub Label: Publication Type Group: TypPub Data: Letter; Comment – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>101263418 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1970-9366 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218280447%22">18280447 </searchLink><i>NLM ISO Abbreviation: </i>Intern Emerg Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36369632 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11739-022-03148-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 325 Titles: – TitleFull: Using real-time machine learning to prevent in-hospital hypoglycemia: a prospective study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fralick M – PersonEntity: Name: NameFull: Debnath M – PersonEntity: Name: NameFull: Pou-Prom C – PersonEntity: Name: NameFull: O'Brien P – PersonEntity: Name: NameFull: Perkins BA – PersonEntity: Name: NameFull: Carson E – PersonEntity: Name: NameFull: Khemani F – PersonEntity: Name: NameFull: Mamdani M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2023 Jan Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1970-9366 Numbering: – Type: volume Value: 18 – Type: issue Value: 1 Titles: – TitleFull: Internal and emergency medicine Type: main |
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