Severity estimation of finger-tapping caused by Parkinson's disease by using linear discriminant regression analysis.
Annu Int Conf IEEE Eng Med Biol Soc
; 2012: 4315-8, 2012.
Article
en En
| MEDLINE
| ID: mdl-23366882
We propose a linear discriminant regression analysis (LDRA) that provides an estimated severity marker for discriminating between healthy and patient groups and estimating severities of the patient group simultaneously. This method combines an evaluation function for discriminating between two groups and one for estimating severities of one group. The combined function is optimized to obtain an equation for calculating estimated severities. The method was evaluated with finger-tapping data of healthy and Parkinson's disease (PD) groups and PD severities assessed by a doctor. As a result, the discrimination ability of LDRA (AUC: 0.8835) was higher than that of discriminant analysis (DA. AUC: 0.8442), which is a conventional method for classification, and the regression ability of LDRA (mean square error (MSE): 1.27) was superior to that of multiple regression analysis (MRA. MSE: 1.68), which is a conventional method for regression. The results show that LDRA is an effective method for estimating the presence and severity of Parkinson's disease.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Oscilometría
/
Enfermedad de Parkinson
/
Examen Físico
/
Interpretación Estadística de Datos
/
Diagnóstico por Computador
/
Dedos
/
Movimiento
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Aspecto:
Patient_preference
Límite:
Humans
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Año:
2012
Tipo del documento:
Article
País de afiliación:
Japón
Pais de publicación:
Estados Unidos