Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Essa Alyounis

Biographic Data

ID9994823
NAMEEssa Alyounis
GIVEN NAMESEssa
FAMILY NAMEAlyounis
SIGNATUREALYOUNIS E
AFFILIATIONSKing Faisal University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • 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.…

No prominent works on this page.

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

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae