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Showing 1–3 of 3 results
Advanced filters: Author: Xiuchuan Tang Clear advanced filters

  • Early and accurate clinical assessment of disease severity in COVID-19 patients is essential for planning the allocation of scarce hospital resources. An explainable machine learning tool trained on blood sample data from 485 patients from Wuhan selected three biomarkers for predicting mortality of individual patients with high accuracy.

    • Li Yan
    • Hai-Tao Zhang
    • Ye Yuan
    Research
    Nature Machine Intelligence
    Volume: 2, P: 283-288

    • Jorge Goncalves
    • Li Yan
    • Ye Yuan
    Research
    Nature Machine Intelligence
    Volume: 3, P: 28-32

  • Discovery of hybrid dynamical models for real-world cyber-physical systems remains a challenge. This paper proposes a general framework for automating mechanistic modeling of hybrid dynamical systems from observed data with low computational complexity and noise resilience.

    • Ye Yuan
    • Xiuchuan Tang
    • Jorge Goncalves
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-9