Markov Models in health care

Detalhes bibliográficos
Autor(a) principal: Sato,Renato Cesar
Data de Publicação: 2010
Outros Autores: Zouain,Désirée Moraes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Einstein (São Paulo)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082010000300376
Resumo: ABSTRACT Markov Chains provide support for problems involving decision on uncertainties through a continuous period of time. The greater availability and access to processing power through computers allow that these models can be used more often to represent clinical structures. Markov models consider the patients in a discrete state of health, and the events represent the transition from one state to another. The possibility of modeling repetitive events and time dependence of probabilities and utilities associated permits a more accurate representation of the evaluated clinical structure. These templates can be used for economic evaluation in health care taking into account the evaluation of costs and clinical outcomes, especially for evaluation of chronic diseases. This article provides a review of the use of modeling within the clinical context and the advantages of the possibility of including time for this type of study.
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spelling Markov Models in health careHealth economicsMarkov chainsModels, economicABSTRACT Markov Chains provide support for problems involving decision on uncertainties through a continuous period of time. The greater availability and access to processing power through computers allow that these models can be used more often to represent clinical structures. Markov models consider the patients in a discrete state of health, and the events represent the transition from one state to another. The possibility of modeling repetitive events and time dependence of probabilities and utilities associated permits a more accurate representation of the evaluated clinical structure. These templates can be used for economic evaluation in health care taking into account the evaluation of costs and clinical outcomes, especially for evaluation of chronic diseases. This article provides a review of the use of modeling within the clinical context and the advantages of the possibility of including time for this type of study.Instituto Israelita de Ensino e Pesquisa Albert Einstein2010-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082010000300376einstein (São Paulo) v.8 n.3 2010reponame:Einstein (São Paulo)instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)instacron:IIEPAE10.1590/s1679-45082010rb1567info:eu-repo/semantics/openAccessSato,Renato CesarZouain,Désirée Moraeseng2017-03-14T00:00:00Zoai:scielo:S1679-45082010000300376Revistahttps://journal.einstein.br/pt-br/ONGhttps://old.scielo.br/oai/scielo-oai.php||revista@einstein.br2317-63851679-4508opendoar:2017-03-14T00:00Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)false
dc.title.none.fl_str_mv Markov Models in health care
title Markov Models in health care
spellingShingle Markov Models in health care
Sato,Renato Cesar
Health economics
Markov chains
Models, economic
title_short Markov Models in health care
title_full Markov Models in health care
title_fullStr Markov Models in health care
title_full_unstemmed Markov Models in health care
title_sort Markov Models in health care
author Sato,Renato Cesar
author_facet Sato,Renato Cesar
Zouain,Désirée Moraes
author_role author
author2 Zouain,Désirée Moraes
author2_role author
dc.contributor.author.fl_str_mv Sato,Renato Cesar
Zouain,Désirée Moraes
dc.subject.por.fl_str_mv Health economics
Markov chains
Models, economic
topic Health economics
Markov chains
Models, economic
description ABSTRACT Markov Chains provide support for problems involving decision on uncertainties through a continuous period of time. The greater availability and access to processing power through computers allow that these models can be used more often to represent clinical structures. Markov models consider the patients in a discrete state of health, and the events represent the transition from one state to another. The possibility of modeling repetitive events and time dependence of probabilities and utilities associated permits a more accurate representation of the evaluated clinical structure. These templates can be used for economic evaluation in health care taking into account the evaluation of costs and clinical outcomes, especially for evaluation of chronic diseases. This article provides a review of the use of modeling within the clinical context and the advantages of the possibility of including time for this type of study.
publishDate 2010
dc.date.none.fl_str_mv 2010-09-01
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082010000300376
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s1679-45082010rb1567
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dc.publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
dc.source.none.fl_str_mv einstein (São Paulo) v.8 n.3 2010
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