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Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association o...

Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association o...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2577951197

Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association of Maternal Weight Gain during Pregnancy with Childhood Outcomes

About this item

Full title

Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association of Maternal Weight Gain during Pregnancy with Childhood Outcomes

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-09

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Electronic health record (EHR) data are increasingly used for biomedical research, but these data have recognized data quality challenges. Data validation is necessary to use EHR data with confidence, but limited resources typically make complete data validation impossible. Using EHR data, we illustrate prospective, multi-wave, two-phase validation...

Alternative Titles

Full title

Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association of Maternal Weight Gain during Pregnancy with Childhood Outcomes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2577951197

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2577951197

Other Identifiers

E-ISSN

2331-8422

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