Predicting the Mortality and Readmission of In-Hospital Cardiac Arrest Patients With Electronic Health Records: A Machine Learning Approach.
Saved in:
| Title: | Predicting the Mortality and Readmission of In-Hospital Cardiac Arrest Patients With Electronic Health Records: A Machine Learning Approach. |
|---|---|
| Authors: | Chi CY; Department of Emergency Medicine, Yunlin Branch, National Taiwan University Hospital, Yunlin, Taiwan., Ao S; Knowtions Research, Toronto, ON, Canada., Winkler A; Knowtions Research, Toronto, ON, Canada., Fu KC; Knowtions Research, Toronto, ON, Canada., Xu J; Knowtions Research, Toronto, ON, Canada., Ho YL; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan., Huang CH; Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan., Soltani R; Knowtions Research, Toronto, ON, Canada. |
| Source: | Journal of medical Internet research [J Med Internet Res] 2021 Sep 13; Vol. 23 (9), pp. e27798. Date of Electronic Publication: 2021 Sep 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
