Predictive modelling of hospital readmission: Evaluation of different preprocessing techniques on machine learning classifiers
Hospital readmission is a major cost for healthcare systems worldwide. If patients with a higher potential of readmission could be identified at the start, existing resources could be used more efficiently, and appropriate plans could be implemented to reduce the risk of readmission. Therefore, it i...
Saved in:
Main Authors: | Miswan, Nor Hamizah, Chan, Chee Seng, Ng, Chong Guan |
---|---|
Format: | Article |
Published: |
IOS Press
2021
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/27135/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hospital readmission prediction based on improved feature selection using grey relational analysis and LASSO
by: Miswan, Nor Hamizah, et al.
Published: (2021) -
Association rules mining for hospital readmission: A case study
by: Miswan, Nor Hamizah, et al.
Published: (2021) -
A predictive analytics framework using grey-lasso model for hospital readmission / Nor Hamizah Miswan
by: Nor Hamizah , Miswan
Published: (2022) -
Hospital readmission risk prediction of COVID-19 patients using machine learning / Loo Wei Kit
by: Loo , Wei Kit
Published: (2024) -
Automated document preprocessing for text categorization
by: Abd Rahman, Suraya, et al.
Published: (2006)