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

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 medica...

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Autores principales: Moyano, Marcelo, Cechich, Alejandra, Camaña, R.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2001
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23250
Aporte de:
id I19-R120-10915-23250
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
información
Patterns
Frameworks
Models
SOFTWARE ENGINEERING
Object-Oriented Design Patterns
Health Care Information Systems
Analysis Patterns
Object-Oriented Frameworks
spellingShingle Ciencias Informáticas
información
Patterns
Frameworks
Models
SOFTWARE ENGINEERING
Object-Oriented Design Patterns
Health Care Information Systems
Analysis Patterns
Object-Oriented Frameworks
Moyano, Marcelo
Cechich, Alejandra
Camaña, R.
An object-oriented framework for predictive models in intensive care units
topic_facet Ciencias Informáticas
información
Patterns
Frameworks
Models
SOFTWARE ENGINEERING
Object-Oriented Design Patterns
Health Care Information Systems
Analysis Patterns
Object-Oriented Frameworks
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.
format Objeto de conferencia
Objeto de conferencia
author Moyano, Marcelo
Cechich, Alejandra
Camaña, R.
author_facet Moyano, Marcelo
Cechich, Alejandra
Camaña, R.
author_sort Moyano, Marcelo
title An object-oriented framework for predictive models in intensive care units
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 object-oriented framework for predictive models in intensive care units
publishDate 2001
url http://sedici.unlp.edu.ar/handle/10915/23250
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