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A novel approach selected small sets of diagnosis codes with high prediction performance in large he...

A novel approach selected small sets of diagnosis codes with high prediction performance in large he...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2433239847

A novel approach selected small sets of diagnosis codes with high prediction performance in large healthcare datasets

About this item

Full title

A novel approach selected small sets of diagnosis codes with high prediction performance in large healthcare datasets

Publisher

United States: Elsevier Inc

Journal title

Journal of clinical epidemiology, 2020-12, Vol.128, p.20-28

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

AbstractObjectiveTo examine an approach for selecting small sets of diagnosis codes with high prediction performance in large datasets of electronic medical records. Study Design and SettingModelling study using national hospital and mortality records for patients with myocardial infarction ( n=200 119), hip fracture ( n=169 646), or colorectal can...

Alternative Titles

Full title

A novel approach selected small sets of diagnosis codes with high prediction performance in large healthcare datasets

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2433239847

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2433239847

Other Identifiers

ISSN

0895-4356

E-ISSN

1878-5921

DOI

10.1016/j.jclinepi.2020.08.001

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