The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people

The increase in the proportion and number of older people in developed countries has resulted in research investigating risk factors for adverse health outcomes, including mortality. However, research has been limited by the range of risk factors included in regression models. This is partly because...

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Main Authors: Ahmad, Rabiah, Bath, Peter A
Format: Article
Language:English
Published: SAGE Publications 2004
Subjects:
Online Access:http://eprints.utm.my/10029/
http://eprints.utm.my/10029/1/rabiahahmad2004_theuseof%20coxregression.pdf
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author Ahmad, Rabiah
Bath, Peter A
author_facet Ahmad, Rabiah
Bath, Peter A
author_sort Ahmad, Rabiah
building UTeM Institutional Repository
collection Online Access
description The increase in the proportion and number of older people in developed countries has resulted in research investigating risk factors for adverse health outcomes, including mortality. However, research has been limited by the range of risk factors included in regression models. This is partly because traditional statistical methods and software packages allow a restricted number of variables and combinations of variables. This article describes ongoing research to overcome these limitations through the CoRGA program, which combines Cox regression with a genetic algorithm for the variable selection process. CoRGA was used to try and identify the best combination of risk factors for 4-year all-cause mortality. The combination of 10 risk factors identified by CoRGA included both known and new risk factors for mortality in older people. Further research is seeking to develop the program further and to identify further risk factors for all-cause mortality in older people.
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spelling utm-100292017-10-05T01:35:41Z http://eprints.utm.my/10029/ The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people Ahmad, Rabiah Bath, Peter A QA75 Electronic computers. Computer science RA0421 Public health. Hygiene. Preventive Medicine The increase in the proportion and number of older people in developed countries has resulted in research investigating risk factors for adverse health outcomes, including mortality. However, research has been limited by the range of risk factors included in regression models. This is partly because traditional statistical methods and software packages allow a restricted number of variables and combinations of variables. This article describes ongoing research to overcome these limitations through the CoRGA program, which combines Cox regression with a genetic algorithm for the variable selection process. CoRGA was used to try and identify the best combination of risk factors for 4-year all-cause mortality. The combination of 10 risk factors identified by CoRGA included both known and new risk factors for mortality in older people. Further research is seeking to develop the program further and to identify further risk factors for all-cause mortality in older people. SAGE Publications 2004-09 Article PeerReviewed application/pdf en http://eprints.utm.my/10029/1/rabiahahmad2004_theuseof%20coxregression.pdf Ahmad, Rabiah and Bath, Peter A (2004) The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people. Health Informatics Journal, 10 (3). pp. 221-236. ISSN 1460-4582 http://dx.doi.org/10.1177/1460458204042236 10.1177/1460458204042236
spellingShingle QA75 Electronic computers. Computer science
RA0421 Public health. Hygiene. Preventive Medicine
Ahmad, Rabiah
Bath, Peter A
The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
title The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
title_full The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
title_fullStr The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
title_full_unstemmed The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
title_short The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
title_sort use of cox regression and genetic algorithm (corga) for identifying risk factors for mortality in older people
topic QA75 Electronic computers. Computer science
RA0421 Public health. Hygiene. Preventive Medicine
url http://eprints.utm.my/10029/
http://eprints.utm.my/10029/
http://eprints.utm.my/10029/
http://eprints.utm.my/10029/1/rabiahahmad2004_theuseof%20coxregression.pdf