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An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model
BACKGROUND: COVID-19, which is accompanied by acute respiratory distress, multiple organ failure, and death, has spread worldwide much faster than previously thought. However, at present, it has limited treatments. OBJECTIVE: To overcome this issue, we developed an artificial intelligence (AI) model...
Autores principales: | Ko, Hoon, Chung, Heewon, Kang, Wu Seong, Park, Chul, Kim, Do Wan, Kim, Seong Eun, Chung, Chi Ryang, Ko, Ryoung Eun, Lee, Hooseok, Seo, Jae Ho, Choi, Tae-Young, Jaimes, Rafael, Kim, Kyung Won, Lee, Jinseok |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759509/ https://www.ncbi.nlm.nih.gov/pubmed/33301414 http://dx.doi.org/10.2196/25442 |
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