Machine Learning Application to Predict the Length of Stay of type 2 Diabetes Patients in the Intensive Care Unit

Test Engineering and Management

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Bibliographic Details
Main Authors: Hargreaves, Carol, Cherie, Chow
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Article
Published: 2021
Online Access:https://scholarbank.nus.edu.sg/handle/10635/192760
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1927602024-04-03T05:49:04Z Machine Learning Application to Predict the Length of Stay of type 2 Diabetes Patients in the Intensive Care Unit Hargreaves, Carol Cherie, Chow STATISTICS & APPLIED PROBABILITY Test Engineering and Management 6143-6163 2021-07-01T05:31:47Z 2021-07-01T05:31:47Z 2020-01-30 2021-06-30T12:41:31Z Article Hargreaves, Carol, Cherie, Chow (2020-01-30). Machine Learning Application to Predict the Length of Stay of type 2 Diabetes Patients in the Intensive Care Unit. Test Engineering and Management : 6143-6163. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/192760 Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Test Engineering and Management
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
Hargreaves, Carol
Cherie, Chow
format Article
author Hargreaves, Carol
Cherie, Chow
spellingShingle Hargreaves, Carol
Cherie, Chow
Machine Learning Application to Predict the Length of Stay of type 2 Diabetes Patients in the Intensive Care Unit
author_sort Hargreaves, Carol
title Machine Learning Application to Predict the Length of Stay of type 2 Diabetes Patients in the Intensive Care Unit
title_short Machine Learning Application to Predict the Length of Stay of type 2 Diabetes Patients in the Intensive Care Unit
title_full Machine Learning Application to Predict the Length of Stay of type 2 Diabetes Patients in the Intensive Care Unit
title_fullStr Machine Learning Application to Predict the Length of Stay of type 2 Diabetes Patients in the Intensive Care Unit
title_full_unstemmed Machine Learning Application to Predict the Length of Stay of type 2 Diabetes Patients in the Intensive Care Unit
title_sort machine learning application to predict the length of stay of type 2 diabetes patients in the intensive care unit
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/192760
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