Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality

10.1371/journal.pone.0195243

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Main Authors:	Low L.L., Yan S., Kwan Y.H., Tan C.S., Thumboo J.
Other Authors:	DUKE-NUS MEDICAL SCHOOL
Format:	Article
Published:	Public Library of Science 2020
Subjects:	adult aged Article atrial fibrillation chronic disease chronic liver disease chronic obstructive lung disease cluster analysis controlled study cor pulmonale disease burden emergency ward end stage renal disease female health care utilization heart failure hospital admission human hyperlipidemia hypertension longitudinal study major clinical study male middle aged morbidity mortality rate mortality risk outpatient care peripheral vascular disease primary medical care prostate hypertrophy Singapore survival time ambulatory care electronic health record epidemiology health care cost health care delivery health care planning hospital emergency service hospital patient hospitalization outpatient patient attitude reproducibility trends utilization Ambulatory Care Cluster Analysis Delivery of Health Care Electronic Health Records Emergency Service, Hospital Female Health Care Costs Health Resources Hospitalization Humans Inpatients Longitudinal Studies Male Outpatients Patient Acceptance of Health Care Reproducibility of Results
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/165903
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-165903
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spelling	sg-nus-scholar.10635-1659032024-11-14T04:01:31Z Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality Low L.L. Yan S. Kwan Y.H. Tan C.S. Thumboo J. DUKE-NUS MEDICAL SCHOOL adult aged Article atrial fibrillation chronic disease chronic liver disease chronic obstructive lung disease cluster analysis controlled study cor pulmonale disease burden emergency ward end stage renal disease female health care utilization heart failure hospital admission human hyperlipidemia hypertension longitudinal study major clinical study male middle aged morbidity mortality rate mortality risk outpatient care peripheral vascular disease primary medical care prostate hypertrophy Singapore survival time ambulatory care cluster analysis electronic health record epidemiology health care cost health care delivery health care planning hospital emergency service hospital patient hospitalization outpatient patient attitude reproducibility trends utilization Ambulatory Care Cluster Analysis Delivery of Health Care Electronic Health Records Emergency Service, Hospital Female Health Care Costs Health Resources Hospitalization Humans Inpatients Longitudinal Studies Male Outpatients Patient Acceptance of Health Care Reproducibility of Results Singapore 10.1371/journal.pone.0195243 PLoS ONE 13 4 e0195243 2020-03-23T06:21:37Z 2020-03-23T06:21:37Z 2018 Article Low L.L., Yan S., Kwan Y.H., Tan C.S., Thumboo J. (2018). Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality. PLoS ONE 13 (4) : e0195243. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0195243 19326203 https://scholarbank.nus.edu.sg/handle/10635/165903 Public Library of Science Unpaywall 20200320
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	adult aged Article atrial fibrillation chronic disease chronic liver disease chronic obstructive lung disease cluster analysis controlled study cor pulmonale disease burden emergency ward end stage renal disease female health care utilization heart failure hospital admission human hyperlipidemia hypertension longitudinal study major clinical study male middle aged morbidity mortality rate mortality risk outpatient care peripheral vascular disease primary medical care prostate hypertrophy Singapore survival time ambulatory care cluster analysis electronic health record epidemiology health care cost health care delivery health care planning hospital emergency service hospital patient hospitalization outpatient patient attitude reproducibility trends utilization Ambulatory Care Cluster Analysis Delivery of Health Care Electronic Health Records Emergency Service, Hospital Female Health Care Costs Health Resources Hospitalization Humans Inpatients Longitudinal Studies Male Outpatients Patient Acceptance of Health Care Reproducibility of Results Singapore
spellingShingle	adult aged Article atrial fibrillation chronic disease chronic liver disease chronic obstructive lung disease cluster analysis controlled study cor pulmonale disease burden emergency ward end stage renal disease female health care utilization heart failure hospital admission human hyperlipidemia hypertension longitudinal study major clinical study male middle aged morbidity mortality rate mortality risk outpatient care peripheral vascular disease primary medical care prostate hypertrophy Singapore survival time ambulatory care cluster analysis electronic health record epidemiology health care cost health care delivery health care planning hospital emergency service hospital patient hospitalization outpatient patient attitude reproducibility trends utilization Ambulatory Care Cluster Analysis Delivery of Health Care Electronic Health Records Emergency Service, Hospital Female Health Care Costs Health Resources Hospitalization Humans Inpatients Longitudinal Studies Male Outpatients Patient Acceptance of Health Care Reproducibility of Results Singapore Low L.L. Yan S. Kwan Y.H. Tan C.S. Thumboo J. Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality
description	10.1371/journal.pone.0195243
author2	DUKE-NUS MEDICAL SCHOOL
author_facet	DUKE-NUS MEDICAL SCHOOL Low L.L. Yan S. Kwan Y.H. Tan C.S. Thumboo J.
format	Article
author	Low L.L. Yan S. Kwan Y.H. Tan C.S. Thumboo J.
author_sort	Low L.L.
title	Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality
title_short	Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality
title_full	Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality
title_fullStr	Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality
title_full_unstemmed	Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality
title_sort	assessing the validity of a data driven segmentation approach: a 4 year longitudinal study of healthcare utilization and mortality
publisher	Public Library of Science
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/165903
_version_	1821197249116372992

Assessing the validity of a data driven segmentation approach: A 4 year longitudinal study of healthcare utilization and mortality

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