Output details
11 - Computer Science and Informatics
University of Westminster
Article title
Applying data mining algorithms to inpatient dataset with missing values
Type
D - Journal article
Title of journal
Journal of Enterprise Information Management
Article number
-
Volume number
21
Issue number
1
First page of article
81
ISSN of journal
1741-0398
Year of publication
2008
Number of additional authors
5
Additional information
<15>Originality: This paper introduces new approaches based on naïve Bayesian classifier and information gain for handling missing values in real healthcare dataset with many missing values.
Significance: Computational results show the robustness, efficiency and superiority of our proposed models over the existing ones and in particular in predicting long stay patients.
Rigour: Decision tree C4.5 was used to evaluate the performance of our proposed four models as well as some of the well known methods.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
