Predicting Community-Onset Candidemia in an Academic Medical Center Using Machine Learning

Predicting Community-Onset Candidemia in an Academic Medical Center Using Machine Learning

Background: Candidemia is a leading cause of bloodstream infections (BSIs), and community-onset candidemia is being recognized as a public health problem. In the era of electronic health records (EHRs), we can use machine learning to detect patterns in patient data that may predict infections. Objec...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Mohammed Alzunitan, Alexandre R. Marra, Michael B. Edmond, Nick Street, Daniel J. Diekema, Jorge Salinas
التنسيق: Artigo
اللغة:الإنجليزية
منشور في: 2020
الوصول للمادة أونلاين:https://doi.org/10.1017/ice.2020.974
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/0A97E6401F9954B8F5F805105C0DE95A/S0899823X20009745a.pdf/div-class-title-predicting-community-onset-candidemia-in-an-academic-medical-center-using-machine-learning-div.pdf
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الانترنت

https://doi.org/10.1017/ice.2020.974
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/0A97E6401F9954B8F5F805105C0DE95A/S0899823X20009745a.pdf/div-class-title-predicting-community-onset-candidemia-in-an-academic-medical-center-using-machine-learning-div.pdf

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