Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore

Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore

10.1136/bmjopen-2019-031622

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Bibliographic Details
Main Authors: Ng, S.H.X., Rahman, N., Ang, I.Y.H., Sridharan, S., Ramachandran, S., Wang, D.D., Khoo, A., Tan, C.S., Feng, M., Toh, S.-A.E.S., Tan, X.Q.
Other Authors: SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
Format: Article
Published: BMJ Publishing Group 2021
Subjects:
healthcare costs
high utiliser
machine learning
persistence
Online Access:https://scholarbank.nus.edu.sg/handle/10635/199225
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1992252024-04-18T03:03:20Z Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore Ng, S.H.X. Rahman, N. Ang, I.Y.H. Sridharan, S. Ramachandran, S. Wang, D.D. Khoo, A. Tan, C.S. Feng, M. Toh, S.-A.E.S. Tan, X.Q. SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH MEDICINE healthcare costs high utiliser machine learning persistence 10.1136/bmjopen-2019-031622 BMJ Open 10 1 e031622 2021-08-25T09:12:28Z 2021-08-25T09:12:28Z 2020 Article Ng, S.H.X., Rahman, N., Ang, I.Y.H., Sridharan, S., Ramachandran, S., Wang, D.D., Khoo, A., Tan, C.S., Feng, M., Toh, S.-A.E.S., Tan, X.Q. (2020). Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore. BMJ Open 10 (1) : e031622. ScholarBank@NUS Repository. https://doi.org/10.1136/bmjopen-2019-031622 2044-6055 https://scholarbank.nus.edu.sg/handle/10635/199225 Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ BMJ Publishing Group Scopus OA2020
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic healthcare costs
high utiliser
machine learning
persistence
spellingShingle healthcare costs
high utiliser
machine learning
persistence
Ng, S.H.X.
Rahman, N.
Ang, I.Y.H.
Sridharan, S.
Ramachandran, S.
Wang, D.D.
Khoo, A.
Tan, C.S.
Feng, M.
Toh, S.-A.E.S.
Tan, X.Q.
Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore
description 10.1136/bmjopen-2019-031622
author2 SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
author_facet SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
Ng, S.H.X.
Rahman, N.
Ang, I.Y.H.
Sridharan, S.
Ramachandran, S.
Wang, D.D.
Khoo, A.
Tan, C.S.
Feng, M.
Toh, S.-A.E.S.
Tan, X.Q.
format Article
author Ng, S.H.X.
Rahman, N.
Ang, I.Y.H.
Sridharan, S.
Ramachandran, S.
Wang, D.D.
Khoo, A.
Tan, C.S.
Feng, M.
Toh, S.-A.E.S.
Tan, X.Q.
author_sort Ng, S.H.X.
title Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore
title_short Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore
title_full Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore
title_fullStr Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore
title_full_unstemmed Characterising and predicting persistent high-cost utilisers in healthcare: A retrospective cohort study in Singapore
title_sort characterising and predicting persistent high-cost utilisers in healthcare: a retrospective cohort study in singapore
publisher BMJ Publishing Group
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/199225
_version_ 1800914974461132800

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