Using machine learning to predict severe hypoglycaemia in hospital.
Saved in:
| 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.
Login for full access.
|
|
| ISSN: | 1463-1326 |
|---|---|
| DOI: | 10.1111/dom.14472 |
