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Qinghua Cheng

Biographic Data

ID7978962
NAMEQinghua Cheng
GIVEN NAMESQinghua
FAMILY NAMECheng
SIGNATURECHENG Q
AFFILIATIONSNortheastern University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Cardiovascular disease prediction model based on patient behavior patterns in the context of deep learning

    Open Access•Yubo Wang, Chengfeng Rao et al.•ARTICLE•Frontiers in Psychiatry•2024

    To address the limitations of traditional cardiovascular disease prediction models in capturing dynamic changes and personalized differences in patients, we propose a novel LGAP model based on time-series data analysis. This model integrates Long Short-Term Memory (LSTM) networks, Graph Neural Networks (GNN), and Multi-Head Attention mechanisms. By combining patients' time-series data (such as medical records, physical parameters, and activity da…

No prominent works on this page.

  • Cardiovascular disease prediction model based on patient behavior patterns in the context of deep learning

    Open Access•Yubo Wang, Chengfeng Rao et al.•ARTICLE•Frontiers in Psychiatry•2024

    To address the limitations of traditional cardiovascular disease prediction models in capturing dynamic changes and personalized differences in patients, we propose a novel LGAP model based on time-series data analysis. This model integrates Long Short-Term Memory (LSTM) networks, Graph Neural Networks (GNN), and Multi-Head Attention mechanisms. By combining patients' time-series data (such as medical records, physical parameters, and activity da…

Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work) · Cardiovascular Health and Risk Factors (1 work) · Computer Science (1 work) · Context (archaeology (1 work) · Data mining (1 work) · Deep learning (1 work) · Disease (1 work) · Generalization (1 work) · Graph (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