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https://ahro.austin.org.au/austinjspui/handle/1/31964| Title: | Early prediction of hospital admission of emergency department patients. | Austin Authors: | Kishore, Kartik ;Braitberg, George;Holmes, Natasha E ;Bellomo, Rinaldo | Affiliation: | Data Analytics Research and Evaluation (DARE) Centre Emergency |
Issue Date: | Aug-2023 | Date: | 2023 | Publication information: | Emergency medicine Australasia: EMA 2023-08; 35(4) | Abstract: | The early prediction of hospital admission is important to ED patient management. Using available electronic data, we aimed to develop a predictive model for hospital admission. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/31964 | DOI: | 10.1111/1742-6723.14169 | ORCID: | 0000-0002-4013-3364 0000-0001-8501-4054 0000-0002-1650-8939 |
Journal: | Emergency Medicine Australasia : EMA | PubMed URL: | 36634916 | ISSN: | 1742-6723 | Type: | Journal Article | Subjects: | NEAT SHAP Admission prediction Machine learning |
| Appears in Collections: | Journal articles |
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