Machine learning in heart failure: ready for prime time.
Curr Opin Cardiol
; 33(2): 190-195, 2018 03.
Article
em En
| MEDLINE
| ID: mdl-29194052
ABSTRACT
PURPOSE OF REVIEW The aim of this review is to present an up-to-date overview of the application of machine learning methods in heart failure including diagnosis, classification, readmissions and medication adherence. RECENT FINDINGS:
Recent studies have shown that the application of machine learning techniques may have the potential to improve heart failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Recently developed deep learning methods are expected to yield even better performance than traditional machine learning techniques in performing complex tasks by learning the intricate patterns hidden in big medical data.SUMMARY:
The review summarizes the recent developments in the application of machine and deep learning methods in heart failure management.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Aprendizado de Máquina
/
Aprendizado Profundo
/
Insuficiência Cardíaca
Tipo de estudo:
Diagnostic_studies
Limite:
Humans
Idioma:
En
Revista:
Curr Opin Cardiol
Assunto da revista:
CARDIOLOGIA
Ano de publicação:
2018
Tipo de documento:
Article