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Mining Trauma Injury Data with Imputed Values
Kay Penny
*
, Thomas Chesney
*
Corresponding author for this work
Health Services Research Unit (HSRU)
Edinburgh Napier University
University of Nottingham
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Citations (Scopus)
Overview
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Mathematics
Mining
100%
Imputation
94%
Missing Values
38%
Propensity Score
22%
Artificial Neural Network
20%
Specificity
19%
Data Mining
18%
Logistic Regression
17%
Model-based
14%
Subset
8%
Estimate
7%
Engineering & Materials Science
Logistic regression
89%
Data mining
66%
Neural networks
48%
Industry
34%