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Using Machine Learning to Develop and Validate an In-Hospital Mortality Prediction Model for Patients with Suspected Sepsis
Background: Early recognition of sepsis and the prediction of mortality in patients with infection are important. This multi-center, ED-based study aimed to develop and validate a 28-day mortality prediction model for patients with infection using various machine learning (ML) algorithms. Methods: P...
Autores principales: | Chao, Hsiao-Yun, Wu, Chin-Chieh, Singh, Avichandra, Shedd, Andrew, Wolfshohl, Jon, Chou, Eric H., Huang, Yhu-Chering, Chen, Kuan-Fu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030924/ https://www.ncbi.nlm.nih.gov/pubmed/35453552 http://dx.doi.org/10.3390/biomedicines10040802 |
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