Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/CBMS.2004.1311768 http://hdl.handle.net/11449/21698 |
Resumo: | The analysis of large amounts of data is better performed by humans when represented in a graphical format. Therefore, a new research area called the Visual Data Mining is being developed endeavoring to use the number crunching power of computers to prepare data for visualization, allied to the ability of humans to interpret data presented graphically.This work presents the results of applying a visual data mining tool, called FastMapDB to detect the behavioral pattern exhibited by a dataset of clinical information about hemoglobinopathies known as thalassemia. FastMapDB is a visual data mining tool that get tabular data stored in a relational database such as dates, numbers and texts, and by considering them as points in a multidimensional space, maps them to a three-dimensional space. The intuitive three-dimensional representation of objects enables a data analyst to see the behavior of the characteristics from abnormal forms of hemoglobin, highlighting the differences when compared to data from a group without alteration. |
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Knowledge extraction using visualization of hemoglobin parameters to identify thalassemiaThe analysis of large amounts of data is better performed by humans when represented in a graphical format. Therefore, a new research area called the Visual Data Mining is being developed endeavoring to use the number crunching power of computers to prepare data for visualization, allied to the ability of humans to interpret data presented graphically.This work presents the results of applying a visual data mining tool, called FastMapDB to detect the behavioral pattern exhibited by a dataset of clinical information about hemoglobinopathies known as thalassemia. FastMapDB is a visual data mining tool that get tabular data stored in a relational database such as dates, numbers and texts, and by considering them as points in a multidimensional space, maps them to a three-dimensional space. The intuitive three-dimensional representation of objects enables a data analyst to see the behavior of the characteristics from abnormal forms of hemoglobin, highlighting the differences when compared to data from a group without alteration.State Univ São Paulo UNESP, Comp Sci & Stat Dept IBILCE, BR-15054000 Sao Jose do Rio Preto, SP, BrazilState Univ São Paulo UNESP, Comp Sci & Stat Dept IBILCE, BR-15054000 Sao Jose do Rio Preto, SP, BrazilIEEE Computer SocUniversidade Estadual Paulista (Unesp)Valencio, C. R.Tronco, M. N.Bonini-Domingos, A. C.Bonini-Domingos, C. R.Traina, C.Traina, AJM2014-05-20T14:01:30Z2014-05-20T14:01:30Z2004-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject523-528http://dx.doi.org/10.1109/CBMS.2004.131176817th IEEE Symposium on Computer-based Medical Systems, Proceedings. Los Alamitos: IEEE Computer Soc, p. 523-528, 2004.http://hdl.handle.net/11449/2169810.1109/CBMS.2004.1311768WOS:00022299800008832794280661767190000-0002-4603-9467Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng17th IEEE Symposium on Computer-based Medical Systems, Proceedingsinfo:eu-repo/semantics/openAccess2021-11-23T18:23:23Zoai:repositorio.unesp.br:11449/21698Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:08:28.196489Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia |
title |
Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia |
spellingShingle |
Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia Valencio, C. R. |
title_short |
Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia |
title_full |
Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia |
title_fullStr |
Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia |
title_full_unstemmed |
Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia |
title_sort |
Knowledge extraction using visualization of hemoglobin parameters to identify thalassemia |
author |
Valencio, C. R. |
author_facet |
Valencio, C. R. Tronco, M. N. Bonini-Domingos, A. C. Bonini-Domingos, C. R. Traina, C. Traina, AJM |
author_role |
author |
author2 |
Tronco, M. N. Bonini-Domingos, A. C. Bonini-Domingos, C. R. Traina, C. Traina, AJM |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Valencio, C. R. Tronco, M. N. Bonini-Domingos, A. C. Bonini-Domingos, C. R. Traina, C. Traina, AJM |
description |
The analysis of large amounts of data is better performed by humans when represented in a graphical format. Therefore, a new research area called the Visual Data Mining is being developed endeavoring to use the number crunching power of computers to prepare data for visualization, allied to the ability of humans to interpret data presented graphically.This work presents the results of applying a visual data mining tool, called FastMapDB to detect the behavioral pattern exhibited by a dataset of clinical information about hemoglobinopathies known as thalassemia. FastMapDB is a visual data mining tool that get tabular data stored in a relational database such as dates, numbers and texts, and by considering them as points in a multidimensional space, maps them to a three-dimensional space. The intuitive three-dimensional representation of objects enables a data analyst to see the behavior of the characteristics from abnormal forms of hemoglobin, highlighting the differences when compared to data from a group without alteration. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004-01-01 2014-05-20T14:01:30Z 2014-05-20T14:01:30Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/CBMS.2004.1311768 17th IEEE Symposium on Computer-based Medical Systems, Proceedings. Los Alamitos: IEEE Computer Soc, p. 523-528, 2004. http://hdl.handle.net/11449/21698 10.1109/CBMS.2004.1311768 WOS:000222998000088 3279428066176719 0000-0002-4603-9467 |
url |
http://dx.doi.org/10.1109/CBMS.2004.1311768 http://hdl.handle.net/11449/21698 |
identifier_str_mv |
17th IEEE Symposium on Computer-based Medical Systems, Proceedings. Los Alamitos: IEEE Computer Soc, p. 523-528, 2004. 10.1109/CBMS.2004.1311768 WOS:000222998000088 3279428066176719 0000-0002-4603-9467 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
17th IEEE Symposium on Computer-based Medical Systems, Proceedings |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
523-528 |
dc.publisher.none.fl_str_mv |
IEEE Computer Soc |
publisher.none.fl_str_mv |
IEEE Computer Soc |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129164333547520 |