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Infant Low Birth Weight Prediction Using Graph Embedding Features.
Khan, Wasif; Zaki, Nazar; Ahmad, Amir; Bian, Jiang; Ali, Luqman; Mehedy Masud, Mohammad; Ghenimi, Nadirah; Ahmed, Luai A.
Afiliação
  • Khan W; Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
  • Zaki N; Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
  • Ahmad A; Department of Information Systems and Security, College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
  • Bian J; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, USA.
  • Ali L; Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
  • Mehedy Masud M; Department of Information Systems and Security, College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
  • Ghenimi N; Department Family Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
  • Ahmed LA; Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
Int J Environ Res Public Health ; 20(2)2023 01 11.
Article em En | MEDLINE | ID: mdl-36674072
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recém-Nascido de Baixo Peso / Mães Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Infant / Newborn / Pregnancy Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Emirados Árabes Unidos País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recém-Nascido de Baixo Peso / Mães Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Infant / Newborn / Pregnancy Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Emirados Árabes Unidos País de publicação: Suíça