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ETHNOS_APP

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Essa Alyounis

Datos Biográficos

ID9994823
NOMBREEssa Alyounis
NOMBRESEssa
APELLIDOAlyounis
FIRMAALYOUNIS E
AFILIACIONESKing Faisal University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2026
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Deep sequence learning with multi-task supervision for scalable population health monitoring

    Open Access•Imran Ashraf, Inzamam Mashood Nasir et al.•ARTICLE•Frontiers in Public Health•2026

    Models designed for artificial intelligence-driven population health monitoring must be able to integrate multiple types of information over time, be heterogeneous in the data they consider, and be deployed at scale. This research proposes an integrated multitask framework for predicting population disease incidence and mortality risk, based on deep learning and using both longitudinal biobank and National Health Survey data in a scalable manner.…

Sin obras prominentes en esta página.

  • Deep sequence learning with multi-task supervision for scalable population health monitoring

    Open Access•Imran Ashraf, Inzamam Mashood Nasir et al.•ARTICLE•Frontiers in Public Health•2026

    Models designed for artificial intelligence-driven population health monitoring must be able to integrate multiple types of information over time, be heterogeneous in the data they consider, and be deployed at scale. This research proposes an integrated multitask framework for predicting population disease incidence and mortality risk, based on deep learning and using both longitudinal biobank and National Health Survey data in a scalable manner.…

Artificial Intelligence in Healthcare (1 obra) · Artificial Intelligence in Healthcare and Education (1 obra) · Biobank (1 obra) · Deep learning (1 obra) · Inference (1 obra) · Machine Learning in Healthcare (1 obra) · Population (1 obra) · Population health (1 obra) · Scalability (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae