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A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infection...

A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infection...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2891065422

A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infections

About this item

Full title

A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infections

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-11

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

As more and more infection-specific machine learning models are developed and planned for clinical deployment, simultaneously running predictions from different models may provide overlapping or even conflicting information. It is important to understand the concordance and behavior of parallel models in deployment. In this study, we focus on two m...

Alternative Titles

Full title

A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infections

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2891065422

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2891065422

Other Identifiers

E-ISSN

2331-8422

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