A Constructive Fuzzy Representation Model for Heart Data Classification.
Stud Health Technol Inform
; 281: 13-17, 2021 May 27.
Article
em En
| MEDLINE
| ID: mdl-34042696
ABSTRACT
The early detection of Heart Disease (HD) and the prediction of Heart Failure (HF) via telemonitoring and can contribute to the reduction of patients' mortality and morbidity as well as to the reduction of respective treatment costs. In this study we propose a novel classification model based on fuzzy logic applied in the context of HD detection and HF prediction. The proposed model considers that data can be represented by fuzzy phrases constructed from fuzzy words, which are fuzzy sets derived from data. Advantages of this approach include the robustness of data classification, as well as an intuitive way for feature selection. The accuracy of the proposed model is investigated on real home telemonitoring data and a publicly available dataset from UCI.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
6_ODS3_enfermedades_notrasmisibles
Base de dados:
MEDLINE
Assunto principal:
Cardiopatias
/
Insuficiência Cardíaca
Tipo de estudo:
Prognostic_studies
/
Screening_studies
Limite:
Humans
Idioma:
En
Revista:
Stud Health Technol Inform
Ano de publicação:
2021
Tipo de documento:
Article