Determining the risk factors of uterine myomas by using back propagation neural network / 中华预防医学杂志
Chinese Journal of Preventive Medicine
;
(12): 94-97, 2007.
Artigo
em Chinês
| WPRIM
| ID: wpr-290185
ABSTRACT
<p><b>OBJECTIVE</b>To evaluate the value of a back propagation (BP) network in determining the risk factors of uterine myomas.</p><p><b>METHODS</b>Using stratified randomized sampling method, 1260 women were surveyed by questionnaire. 12 matched case-control study was conducted in 113 cases of uterine myomas. Neural network tools box of Software MATLAB 6.5 was used to train and simulate BP artificial network. The mean impact value (MIV) for each input variables was analyzed, and was compared with multiple logistic regression analysis and log-linear model for interaction between factors.</p><p><b>RESULTS</b>BP artificial neural analysis showed that the leading risk factors for uterine myomas were delayed menstruation, family history of uterine myomas, cervicitis, menstrual disorder, induced abortion, pelvic inflammatory, oral contraceptive medication, and elytritis, with mean impact value -0.0405, 0.0361, 0.0162, 0.0143, 0.0135, 0.0117, 0.0094, 0.0087, respectively. Both BP artificial neural and logistic regression analysis showed that the sequence of leading risk factors were similar in the whole, but there were some differences observed, induced abortion was proved to be an important cooperation variable through logline model analysis respectively.</p><p><b>CONCLUSION</b>Compared to the conventional statistics method, BP artificial neural network could deal with the interaction between covariables preferably, thus provided a powerful method to risk factor analysis.</p>
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Neoplasias Uterinas
/
China
/
Epidemiologia
/
Fatores de Risco
/
Redes Neurais de Computação
/
Medição de Risco
/
Leiomioma
Tipo de estudo:
Ensaio Clínico Controlado
/
Estudo de etiologia
/
Estudo observacional
/
Estudo prognóstico
Limite:
Adulto
/
Feminino
/
Humanos
País/Região como assunto:
Ásia
Idioma:
Chinês
Revista:
Chinese Journal of Preventive Medicine
Ano de publicação:
2007
Tipo de documento:
Artigo
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