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Application of back propagation neural network model optimized by particle swarm algorithm in predicting the risk of hypertension.
Yan, Yan; Chen, Rong; Yang, Zihua; Ma, Yong; Huang, Jialu; Luo, Ling; Liu, Hao; Xu, Jian; Chen, Weiying; Ding, Yuanlin; Kong, Danli; Zhang, Qiaoli; Yu, Haibing.
Afiliação
  • Yan Y; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Chen R; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Yang Z; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Ma Y; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Huang J; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Luo L; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Liu H; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Xu J; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Chen W; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Ding Y; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Kong D; Department of Epidemiology and Medical Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Zhang Q; Preventive Medicine and Hygienics, Dongguan Center for Disease Control and Prevention, Dongguan, Guangdong, China.
  • Yu H; The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China.
J Clin Hypertens (Greenwich) ; 24(12): 1606-1617, 2022 12.
Article em En | MEDLINE | ID: mdl-36380516
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hipertensão Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Clin Hypertens (Greenwich) Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hipertensão Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Clin Hypertens (Greenwich) Ano de publicação: 2022 Tipo de documento: Article