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Niyousha Hosseinichimeh

Dados Biográficos

ID2294736
NOMENiyousha Hosseinichimeh
PRENOMESNiyousha
SOBRENOMEHosseinichimeh
ASSINATURAHOSSEINICHIMEH N
AFILIAÇÕESVirginia Tech
ORCID0000-0003-3809-3778
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES3
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • A Participatory Approach to Enhance Screening System for Perinatal Mood and Anxiety Disorder in Critical Care Settings

    Open Access•Fatima Sadjadpour, Niyousha Hosseinichimeh et al.•ARTICLE•Systems Research and Behavioral…•2026

    Perinatal mood and anxiety disorders are common obstetric complications. Caregivers of infants in neonatal intensive care units and those visiting paediatric emergency departments experience a significantly higher risk of these disorders, with up to 45% screening positive for depressive symptoms in the neonatal intensive care unit and 27% in the paediatric emergency department. However, current screening and treatment systems in both settings are…

  • Comparative analysis of machine learning versus traditional method for early detection of parental depression symptoms in the Nicu

    Open Access•Edward Rees, Fatima Sadjadpour et al.•ARTICLE•Frontiers in Public Health•2024

    Logistic regression is effective in identifying parents at risk of depression for targeted screening with a performance comparable to common ML-based models

  • Modeling of drinking and driving behaviors among adolescents and young adults in the United States

    Open Access•Niyousha Hosseinichimeh, Rod Macdonald et al.•ARTICLE•Social Science & Medicine•2024•Referências: 35

  • Mapping the complex causal mechanisms of drinking and driving behaviors among adolescents and young adults

    Open Access•Niyousha Hosseinichimeh, Rod Macdonald et al.•ARTICLE•Social Science & Medicine•2022•Citada por: 3•Referências: 39

  • Mapping the complex causal mechanisms of drinking and driving behaviors among adolescents and young adults

    Open Access•Niyousha Hosseinichimeh, Rod Macdonald et al.•ARTICLE•Social Science & Medicine•2022•Citada por: 3•Referências: 39

  • Mapping the complex causal mechanisms of drinking and driving behaviors among adolescents and young adults

    Open Access•Niyousha Hosseinichimeh, Rod Macdonald et al.•ARTICLE•Social Science & Medicine•2022•Citada por: 3•Referências: 39

  • Comparative analysis of machine learning versus traditional method for early detection of parental depression symptoms in the Nicu

    Open Access•Edward Rees, Fatima Sadjadpour et al.•ARTICLE•Frontiers in Public Health•2024

    Logistic regression is effective in identifying parents at risk of depression for targeted screening with a performance comparable to common ML-based models

  • Modeling of drinking and driving behaviors among adolescents and young adults in the United States

    Open Access•Niyousha Hosseinichimeh, Rod Macdonald et al.•ARTICLE•Social Science & Medicine•2024•Referências: 35

  • A Participatory Approach to Enhance Screening System for Perinatal Mood and Anxiety Disorder in Critical Care Settings

    Open Access•Fatima Sadjadpour, Niyousha Hosseinichimeh et al.•ARTICLE•Systems Research and Behavioral…•2026

    Perinatal mood and anxiety disorders are common obstetric complications. Caregivers of infants in neonatal intensive care units and those visiting paediatric emergency departments experience a significantly higher risk of these disorders, with up to 45% screening positive for depressive symptoms in the neonatal intensive care unit and 27% in the paediatric emergency department. However, current screening and treatment systems in both settings are…

Psychology (3 obras) · Developmental psychology (2 obras) · Environmental health (2 obras) · Gerontology (2 obras) · Human Factors and Ergonomics (2 obras) · Injury prevention (2 obras) · Medicine (2 obras) · Occupational safety and health (2 obras) · Poison control (2 obras) · Psychiatry (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae