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Optimal discharge of patients from intensive care via a data-driven policy learning framework

Optimal discharge of patients from intensive care via a data-driven policy learning framework

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2611837161

Optimal discharge of patients from intensive care via a data-driven policy learning framework

About this item

Full title

Optimal discharge of patients from intensive care via a data-driven policy learning framework

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Clinical decision support tools rooted in machine learning and optimization can provide significant value to healthcare providers, including through better management of intensive care units. In particular, it is important that the patient discharge task addresses the nuanced trade-off between decreasing a patient's length of stay (and associated h...

Alternative Titles

Full title

Optimal discharge of patients from intensive care via a data-driven policy learning framework

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2611837161

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2611837161

Other Identifiers

E-ISSN

2331-8422

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