The Ensemble Learners: Machine Learning Classification of Diabetic Patient Readmission-Reference-Cited by-同舟云学术

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The Ensemble Learners: Machine Learning Classification of Diabetic Patient Readmission

Published:2023-09-22 Issue: Volume: Page:1-10
ISSN:
Container-title:2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
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Author:

Xu Qianwen Ariel¹,Chang Victor¹,Olamide Eniola Rahman²,Ganatra Meghana Ashok²,Tung Wong Siu³

Affiliation:

1. Aston Business School, Aston University,Department of Operations and Information Management,Birmingham,UK

2. School of Computing and Digital Technologies, Teesside University,Middlesbrough,UK

3. King's College London,Department of physics,London,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10554366/10554383/10554593.pdf?arnumber=10554593

Reference16 articles.

1. The global epidemics of diabetes in the 21st century: Current situation and perspectives

2. WHO Global report on diabetes: A summary

3. Evaluation of hospital outcomes: the relation between length-of-stay, readmission, and mortality in a large international administrative database

4. The Shifting Landscape in Utilization of Inpatient, Observation, and Emergency Department Services Across Payers

5. Predicting readmission of diabetic patients using the high performance support vector machine algorithm ofsas® enterprise miner™;Munnangi;Proc. of SAS Global Forum,2015

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