TITLE

Impact of selected pre-processing techniques on prediction of risk of early readmission for diabetic patients in India

AUTHOR(S)
Duggal, Reena; Khatri, Sunil; Shukla, Suren; Chandra, Sarika; Shukla, Balvinder
PUB. DATE
December 2016
SOURCE
International Journal of Diabetes in Developing Countries;Dec2016, Vol. 36 Issue 4, p469
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The article focuses on data pre-processing methods to improve readmission prediction outcomes for diabetic patients in India. It discusses data mining or extraction through electronic medical record (EMR) system. Topics include data selection with criteria such as length of stay (LOS), inpatient hospital admission and defining class labels; and predictive modelling using logistic regression, Naive Bayes and decision tree.
ACCESSION #
120511409

 

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