Chronic Heart Failure Follow-up Management Based on Agent Technology / 대한의료정보학회지
Healthcare Informatics Research
;
: 307-314, 2015.
Artigo
em Inglês
| WPRIM
| ID: wpr-165774
ABSTRACT
OBJECTIVES:
Monitoring heart failure patients through continues assessment of sign and symptoms by information technology tools lead to large reduction in re-hospitalization. Agent technology is one of the strongest artificial intelligence areas; therefore, it can be expected to facilitate, accelerate, and improve health services especially in home care and telemedicine. The aim of this article is to provide an agent-based model for chronic heart failure (CHF) follow-up management.METHODS:
This research was performed in 2013-2014 to determine appropriate scenarios and the data required to monitor and follow-up CHF patients, and then an agent-based model was designed.RESULTS:
Agents in the proposed model perform the following tasks medical data access, communication with other agents of the framework and intelligent data analysis, including medical data processing, reasoning, negotiation for decision-making, and learning capabilities.CONCLUSIONS:
The proposed multi-agent system has ability to learn and thus improve itself. Implementation of this model with more and various interval times at a broader level could achieve better results. The proposed multi-agent system is no substitute for cardiologists, but it could assist them in decision-making.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Inteligência Artificial
/
Estatística como Assunto
/
Seguimentos
/
Negociação
/
Telemedicina
/
Sistemas de Informação em Saúde
/
Serviços de Saúde
/
Coração
/
Insuficiência Cardíaca
/
Serviços de Assistência Domiciliar
Tipo de estudo:
Estudo observacional
/
Estudo prognóstico
Limite:
Humanos
Idioma:
Inglês
Revista:
Healthcare Informatics Research
Ano de publicação:
2015
Tipo de documento:
Artigo
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