An object-oriented framework for predictive models in intensive care units

Autores
Moyano, Marcelo; Cechich, Alejandra; Camaña, R.
Año de publicación
2001
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
When used in conjunction with patterns, class libraries, and components, objectoriented application frameworks can significantly increase software quality and reduce development effort. Frameworks are a kind of domain-specific model whose structure can reuse existing patterns. In the field of medical applications, one of the important trends is the move towards frameworks describing different situations. Frameworks in medicine entails capturing, storing, retrieving, transmitting and manipulating patient-specific health care related data, including clinical, administrative, and biographical data. Using predictive methods in Intensive Care Units is a standard procedure to determine a measure of disease severity, based on current physiologic measurements, age and previous health condition. These situations can be described by reusing existing models and patterns, and building new structures based on flexible issues. In this paper, we present a Java object-oriented framework developed for modelling predictive methods in Intensive Care Units. We also briefly discuss future work, which will include a formal specification as part of the framework’s documentation.
Eje: Ingeniería de software
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
información
Patterns
Frameworks
Models
SOFTWARE ENGINEERING
Object-Oriented Design Patterns
Health Care Information Systems
Analysis Patterns
Object-Oriented Frameworks
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23250
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/23250
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling An object-oriented framework for predictive models in intensive care unitsMoyano, MarceloCechich, AlejandraCamaña, R.Ciencias InformáticasinformaciónPatternsFrameworksModelsSOFTWARE ENGINEERINGObject-Oriented Design PatternsHealth Care Information SystemsAnalysis PatternsObject-Oriented FrameworksWhen used in conjunction with patterns, class libraries, and components, objectoriented application frameworks can significantly increase software quality and reduce development effort. Frameworks are a kind of domain-specific model whose structure can reuse existing patterns. In the field of medical applications, one of the important trends is the move towards frameworks describing different situations. Frameworks in medicine entails capturing, storing, retrieving, transmitting and manipulating patient-specific health care related data, including clinical, administrative, and biographical data. Using predictive methods in Intensive Care Units is a standard procedure to determine a measure of disease severity, based on current physiologic measurements, age and previous health condition. These situations can be described by reusing existing models and patterns, and building new structures based on flexible issues. In this paper, we present a Java object-oriented framework developed for modelling predictive methods in Intensive Care Units. We also briefly discuss future work, which will include a formal specification as part of the framework’s documentation.Eje: Ingeniería de softwareRed de Universidades con Carreras en Informática (RedUNCI)2001-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23250enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:48:00Zoai:sedici.unlp.edu.ar:10915/23250Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:48:00.999SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An object-oriented framework for predictive models in intensive care units
title An object-oriented framework for predictive models in intensive care units
spellingShingle An object-oriented framework for predictive models in intensive care units
Moyano, Marcelo
Ciencias Informáticas
información
Patterns
Frameworks
Models
SOFTWARE ENGINEERING
Object-Oriented Design Patterns
Health Care Information Systems
Analysis Patterns
Object-Oriented Frameworks
title_short An object-oriented framework for predictive models in intensive care units
title_full An object-oriented framework for predictive models in intensive care units
title_fullStr An object-oriented framework for predictive models in intensive care units
title_full_unstemmed An object-oriented framework for predictive models in intensive care units
title_sort An object-oriented framework for predictive models in intensive care units
dc.creator.none.fl_str_mv Moyano, Marcelo
Cechich, Alejandra
Camaña, R.
author Moyano, Marcelo
author_facet Moyano, Marcelo
Cechich, Alejandra
Camaña, R.
author_role author
author2 Cechich, Alejandra
Camaña, R.
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
información
Patterns
Frameworks
Models
SOFTWARE ENGINEERING
Object-Oriented Design Patterns
Health Care Information Systems
Analysis Patterns
Object-Oriented Frameworks
topic Ciencias Informáticas
información
Patterns
Frameworks
Models
SOFTWARE ENGINEERING
Object-Oriented Design Patterns
Health Care Information Systems
Analysis Patterns
Object-Oriented Frameworks
dc.description.none.fl_txt_mv When used in conjunction with patterns, class libraries, and components, objectoriented application frameworks can significantly increase software quality and reduce development effort. Frameworks are a kind of domain-specific model whose structure can reuse existing patterns. In the field of medical applications, one of the important trends is the move towards frameworks describing different situations. Frameworks in medicine entails capturing, storing, retrieving, transmitting and manipulating patient-specific health care related data, including clinical, administrative, and biographical data. Using predictive methods in Intensive Care Units is a standard procedure to determine a measure of disease severity, based on current physiologic measurements, age and previous health condition. These situations can be described by reusing existing models and patterns, and building new structures based on flexible issues. In this paper, we present a Java object-oriented framework developed for modelling predictive methods in Intensive Care Units. We also briefly discuss future work, which will include a formal specification as part of the framework’s documentation.
Eje: Ingeniería de software
Red de Universidades con Carreras en Informática (RedUNCI)
description When used in conjunction with patterns, class libraries, and components, objectoriented application frameworks can significantly increase software quality and reduce development effort. Frameworks are a kind of domain-specific model whose structure can reuse existing patterns. In the field of medical applications, one of the important trends is the move towards frameworks describing different situations. Frameworks in medicine entails capturing, storing, retrieving, transmitting and manipulating patient-specific health care related data, including clinical, administrative, and biographical data. Using predictive methods in Intensive Care Units is a standard procedure to determine a measure of disease severity, based on current physiologic measurements, age and previous health condition. These situations can be described by reusing existing models and patterns, and building new structures based on flexible issues. In this paper, we present a Java object-oriented framework developed for modelling predictive methods in Intensive Care Units. We also briefly discuss future work, which will include a formal specification as part of the framework’s documentation.
publishDate 2001
dc.date.none.fl_str_mv 2001-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/23250
url http://sedici.unlp.edu.ar/handle/10915/23250
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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