Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival

10.1186/1471-2318-10-55

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Bibliographic Details
Main Authors:	Swindell, W.R, Ensrud, K.E, Cawthon, P.M, Cauley, J.A, Cummings, S.R, Miller, R.A
Other Authors:	OBSTETRICS & GYNAECOLOGY
Format:	Article
Published:	2020
Subjects:	aged aging article cohort analysis comparative study data mining female health status human longitudinal study methodology mortality osteoporosis physiology predictive value prospective study survival rate survivor Aged Aging Cohort Studies Data Mining Female Health Status Humans Longitudinal Studies Osteoporosis Predictive Value of Tests Prospective Studies Survival Rate Survivors
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/181657
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1816572024-04-25T06:05:51Z Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival Swindell, W.R Ensrud, K.E Cawthon, P.M Cauley, J.A Cummings, S.R Miller, R.A OBSTETRICS & GYNAECOLOGY aged aging article cohort analysis comparative study data mining female health status human longitudinal study methodology mortality osteoporosis physiology predictive value prospective study survival rate survivor Aged Aging Cohort Studies Data Mining Female Health Status Humans Longitudinal Studies Osteoporosis Predictive Value of Tests Prospective Studies Survival Rate Survivors 10.1186/1471-2318-10-55 BMC Geriatrics 10 55 2020-10-27T11:36:58Z 2020-10-27T11:36:58Z 2010 Article Swindell, W.R, Ensrud, K.E, Cawthon, P.M, Cauley, J.A, Cummings, S.R, Miller, R.A (2010). Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival. BMC Geriatrics 10 : 55. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2318-10-55 14712318 https://scholarbank.nus.edu.sg/handle/10635/181657 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	aged aging article cohort analysis comparative study data mining female health status human longitudinal study methodology mortality osteoporosis physiology predictive value prospective study survival rate survivor Aged Aging Cohort Studies Data Mining Female Health Status Humans Longitudinal Studies Osteoporosis Predictive Value of Tests Prospective Studies Survival Rate Survivors
spellingShingle	aged aging article cohort analysis comparative study data mining female health status human longitudinal study methodology mortality osteoporosis physiology predictive value prospective study survival rate survivor Aged Aging Cohort Studies Data Mining Female Health Status Humans Longitudinal Studies Osteoporosis Predictive Value of Tests Prospective Studies Survival Rate Survivors Swindell, W.R Ensrud, K.E Cawthon, P.M Cauley, J.A Cummings, S.R Miller, R.A Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival
description	10.1186/1471-2318-10-55
author2	OBSTETRICS & GYNAECOLOGY
author_facet	OBSTETRICS & GYNAECOLOGY Swindell, W.R Ensrud, K.E Cawthon, P.M Cauley, J.A Cummings, S.R Miller, R.A
format	Article
author	Swindell, W.R Ensrud, K.E Cawthon, P.M Cauley, J.A Cummings, S.R Miller, R.A
author_sort	Swindell, W.R
title	Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival
title_short	Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival
title_full	Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival
title_fullStr	Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival
title_full_unstemmed	Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival
title_sort	indicators of "healthy aging" in older women (65-69 years of age). a data-mining approach based on prediction of long-term survival
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/181657
_version_	1800914647190077440

Indicators of "healthy aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival

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