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Machine Learning Readmission Risk Modeling: A Pediatric Case Study

Machine Learning Readmission Risk Modeling: A Pediatric Case Study

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6500604

Machine Learning Readmission Risk Modeling: A Pediatric Case Study

About this item

Full title

Machine Learning Readmission Risk Modeling: A Pediatric Case Study

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

Journal title

BioMed research international, 2019-01, Vol.2019 (2019), p.1-9

Language

English

Formats

Publication information

Publisher

Cairo, Egypt: Hindawi Publishing Corporation

More information

Scope and Contents

Contents

Background. Hospital readmission prediction in pediatric hospitals has received little attention. Studies have focused on the readmission frequency analysis stratified by disease and demographic/geographic characteristics but there are no predictive modeling approaches, which may be useful to identify preventable readmissions that constitute a majo...

Alternative Titles

Full title

Machine Learning Readmission Risk Modeling: A Pediatric Case Study

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6500604

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6500604

Other Identifiers

ISSN

2314-6133

E-ISSN

2314-6141

DOI

10.1155/2019/8532892

How to access this item