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Ben-Assuli et al., 2018 - Google Patents

Analysing repeated hospital readmissions using data mining techniques

Ben-Assuli et al., 2018

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Document ID
4080395924620395024
Author
Ben-Assuli O
Padman R
Publication year
Publication venue
Health Systems

External Links

Snippet

Few studies have examined how to identify future readmission of patients with a large number of repeat emergency department (ED) visits. We explore 30-day readmission risk prediction using Microsoft's AZURE machine learning software and compare five …
Continue reading at www.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

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