Compact machine learning model for the accurate prediction of first 24-hour survival of mechanically ventilated patients.
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| Title: | Compact machine learning model for the accurate prediction of first 24-hour survival of mechanically ventilated patients. |
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| Authors: | Nguyen QT; Department of Mathematics and Statistics, Langara College, Vancouver, BC, Canada., Tran MP; Department of Mathematics and Statistics, Langara College, Vancouver, BC, Canada., Prabhakaran V; Department of Mathematics and Statistics, Langara College, Vancouver, BC, Canada., Liu A; Department of Mathematics and Statistics, Langara College, Vancouver, BC, Canada., Nguyen GH; Emergency Department, 108 Military Central Hospital, Hanoi, Vietnam. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2024 Jun 20; Vol. 11, pp. 1398565. Date of Electronic Publication: 2024 Jun 20 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2024.1398565 |
