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Seunghyeon Hwang

Dados Biográficos

ID4684243
NOMESeunghyeon Hwang
PRENOMESSeunghyeon
SOBRENOMEHwang
ASSINATURAHWANG S
AFILIAÇÕESKorea Institute of Science and Technology
ORCID0000-0002-1038-519X
VERIFICADOSim
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H1
  • Enhancing the accuracy of mental health assessments through the integration of self-report and objective measures

    Open Access•Nayeon Kwon, Dongwon Lee et al.•ARTICLE•Acta Psychologica•2025•Citada por: 1•Referências: 4

  • Classification and Prediction on Hypertension with Blood Pressure Determinants in a Deep Learning Algorithm

    Open Access•Hyerim Kim, Seunghyeon Hwang et al.•ARTICLE•International Journal of…•2022

    Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in a deep learning algorithm. The objective of this study is to develop a deep learning algorithm for the classification and prediction of hypertension with BP-related factors based on the Korean Genome and Epidemiology Study-Ansan and Ansung baseline survey. We also investigated whether energy intake adjustment is adequate for deep learning algorithm…

  • Enhancing the accuracy of mental health assessments through the integration of self-report and objective measures

    Open Access•Nayeon Kwon, Dongwon Lee et al.•ARTICLE•Acta Psychologica•2025•Citada por: 1•Referências: 4

  • Classification and Prediction on Hypertension with Blood Pressure Determinants in a Deep Learning Algorithm

    Open Access•Hyerim Kim, Seunghyeon Hwang et al.•ARTICLE•International Journal of…•2022

    Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in a deep learning algorithm. The objective of this study is to develop a deep learning algorithm for the classification and prediction of hypertension with BP-related factors based on the Korean Genome and Epidemiology Study-Ansan and Ansung baseline survey. We also investigated whether energy intake adjustment is adequate for deep learning algorithm…

  • Enhancing the accuracy of mental health assessments through the integration of self-report and objective measures

    Open Access•Nayeon Kwon, Dongwon Lee et al.•ARTICLE•Acta Psychologica•2025•Citada por: 1•Referências: 4

Computer Science (2 obras) · Algorithm (1 obras) · Applied Psychology (1 obras) · Applied Psychology (1 obras) · Artificial Intelligence (1 obras) · Artificial neural network (1 obras) · Blood pressure (1 obras) · Blood Pressure and Hypertension Studies (1 obras) · Cardiovascular Health and Risk Factors (1 obras) · Convergence (economics (1 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