A functional supervised learning approach to the study of blood pressure data.
Stat Med
; 37(8): 1359-1375, 2018 04 15.
Article
em En
| MEDLINE
| ID: mdl-29266314
ABSTRACT
In this work, a functional supervised learning scheme is proposed for the classification of subjects into normotensive and hypertensive groups, using solely the 24-hour blood pressure data, relying on the concepts of Fréchet mean and Fréchet variance for appropriate deformable functional models for the blood pressure data. The schemes are trained on real clinical data, and their performance was assessed and found to be very satisfactory.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Biometria
/
Aprendizado de Máquina Supervisionado
/
Hipertensão
/
Hipotensão
Tipo de estudo:
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article