Cargando…

A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk

Health information systems contain extensive amounts of patient data. Information relevant to public health and individuals’ medical histories are both available. In clinical research, the prediction of patient survival rates and identification of prognosis factors are major challenges. To alleviate...

Descripción completa

Detalles Bibliográficos
Autores principales: Chu, Yuan-Chia, Kuo, Wen-Tsung, Cheng, Yuan-Ren, Lee, Chung-Yuan, Shiau, Cheng-Ying, Tarng, Der-Cherng, Lai, Feipei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110739/
https://www.ncbi.nlm.nih.gov/pubmed/30150756
http://dx.doi.org/10.1038/s41598-018-31290-z
_version_ 1783350524869869568
author Chu, Yuan-Chia
Kuo, Wen-Tsung
Cheng, Yuan-Ren
Lee, Chung-Yuan
Shiau, Cheng-Ying
Tarng, Der-Cherng
Lai, Feipei
author_facet Chu, Yuan-Chia
Kuo, Wen-Tsung
Cheng, Yuan-Ren
Lee, Chung-Yuan
Shiau, Cheng-Ying
Tarng, Der-Cherng
Lai, Feipei
author_sort Chu, Yuan-Chia
collection PubMed
description Health information systems contain extensive amounts of patient data. Information relevant to public health and individuals’ medical histories are both available. In clinical research, the prediction of patient survival rates and identification of prognosis factors are major challenges. To alleviate the difficulties related to these factors, Metadata Utilities was developed to help researchers manage column definitions and information such as import/query/generator Metadata files. These utilities also include an automatic update mechanism to ensure consistency between the data and parameters of the batch produced in the conversion procedure. Survival Metadata Analysis Responsive Tool (SMART) provides a comprehensive set of statistical tests that are easy to understand, including support for analyzing nominal variables, ordinal variables, interval variables or ratio variables as means, standard deviations, maximum values, minimum values, and percentages. In this article, the development of a raw data source and transfer mechanism, Extract-Transform-Load (ETL), is described for data cleansing, extraction, transformation and loading. We also built a handy method for data presentation, which can be customized to the trial design. As demonstrated here, SMART is useful for risk-adjusted baseline cohort and randomized controlled trials.
format Online
Article
Text
id pubmed-6110739
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-61107392018-08-30 A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk Chu, Yuan-Chia Kuo, Wen-Tsung Cheng, Yuan-Ren Lee, Chung-Yuan Shiau, Cheng-Ying Tarng, Der-Cherng Lai, Feipei Sci Rep Article Health information systems contain extensive amounts of patient data. Information relevant to public health and individuals’ medical histories are both available. In clinical research, the prediction of patient survival rates and identification of prognosis factors are major challenges. To alleviate the difficulties related to these factors, Metadata Utilities was developed to help researchers manage column definitions and information such as import/query/generator Metadata files. These utilities also include an automatic update mechanism to ensure consistency between the data and parameters of the batch produced in the conversion procedure. Survival Metadata Analysis Responsive Tool (SMART) provides a comprehensive set of statistical tests that are easy to understand, including support for analyzing nominal variables, ordinal variables, interval variables or ratio variables as means, standard deviations, maximum values, minimum values, and percentages. In this article, the development of a raw data source and transfer mechanism, Extract-Transform-Load (ETL), is described for data cleansing, extraction, transformation and loading. We also built a handy method for data presentation, which can be customized to the trial design. As demonstrated here, SMART is useful for risk-adjusted baseline cohort and randomized controlled trials. Nature Publishing Group UK 2018-08-27 /pmc/articles/PMC6110739/ /pubmed/30150756 http://dx.doi.org/10.1038/s41598-018-31290-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chu, Yuan-Chia
Kuo, Wen-Tsung
Cheng, Yuan-Ren
Lee, Chung-Yuan
Shiau, Cheng-Ying
Tarng, Der-Cherng
Lai, Feipei
A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk
title A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk
title_full A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk
title_fullStr A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk
title_full_unstemmed A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk
title_short A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk
title_sort survival metadata analysis responsive tool (smart) for web-based analysis of patient survival and risk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110739/
https://www.ncbi.nlm.nih.gov/pubmed/30150756
http://dx.doi.org/10.1038/s41598-018-31290-z
work_keys_str_mv AT chuyuanchia asurvivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT kuowentsung asurvivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT chengyuanren asurvivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT leechungyuan asurvivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT shiauchengying asurvivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT tarngdercherng asurvivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT laifeipei asurvivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT chuyuanchia survivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT kuowentsung survivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT chengyuanren survivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT leechungyuan survivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT shiauchengying survivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT tarngdercherng survivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk
AT laifeipei survivalmetadataanalysisresponsivetoolsmartforwebbasedanalysisofpatientsurvivalandrisk