An integrated pipeline for prediction of Clostridioides difficile infection

With the expansion of electronic health records(EHR)-linked genomic data comes the development of machine learning-enable models. There is a pressing need to develop robust pipelines to evaluate the performance of integrated models and minimize systemic bias. We developed a prediction model of sympt...

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Detalles Bibliográficos
Autores principales: Li, Jiang, Chaudhary, Durgesh, Sharma, Vaibhav, Sharma, Vishakha, Avula, Venkatesh, Ssentongo, Paddy, Wolk, Donna M., Zand, Ramin, Abedi, Vida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545794/
https://www.ncbi.nlm.nih.gov/pubmed/37783691
http://dx.doi.org/10.1038/s41598-023-41753-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545794/
https://www.ncbi.nlm.nih.gov/pubmed/37783691
http://dx.doi.org/10.1038/s41598-023-41753-7

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