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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| ISSN: | 1970-9366 |
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| DOI: | 10.1007/s11739-022-03148-w |
