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The Comparison and Interpretation of Machine-Learning Models in Post-Stroke Functional Outcome Predi...

The Comparison and Interpretation of Machine-Learning Models in Post-Stroke Functional Outcome Predi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b494f3fdc9a9499888804a687568c80f

The Comparison and Interpretation of Machine-Learning Models in Post-Stroke Functional Outcome Prediction

About this item

Full title

The Comparison and Interpretation of Machine-Learning Models in Post-Stroke Functional Outcome Prediction

Publisher

Basel: MDPI AG

Journal title

Diagnostics (Basel), 2021-09, Vol.11 (10), p.1784

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Prediction of post-stroke functional outcomes is crucial for allocating medical resources. In this study, a total of 577 patients were enrolled in the Post-Acute Care-Cerebrovascular Disease (PAC-CVD) program, and 77 predictors were collected at admission. The outcome was whether a patient could achieve a Barthel Index (BI) score of >60 upon discha...

Alternative Titles

Full title

The Comparison and Interpretation of Machine-Learning Models in Post-Stroke Functional Outcome Prediction

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b494f3fdc9a9499888804a687568c80f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b494f3fdc9a9499888804a687568c80f

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics11101784

How to access this item