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  1. 10621

    The role of advanced machine learning in COVID-19 medical imaging: A technical review by Abdul Muiz Fayyaz, Said Jadid Abdulkadir, Shahab Ul Hassan, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Lareib Fatima Talib

    Published 2025-06-01
    “…However, the diagnostic process is often challenging, time-consuming, and prone to human error. Although machine learning (ML) techniques have shown great promise in addressing these challenges, there remains a need for a comprehensive overview of how these methods contribute to automated COVID-19 detection. …”
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    Optimizing county-level infectious respiratory disease forecasts: a pandemic case study integrating social media-based physical and social connectivity networks by Fengrui Jing, Zhenlong Li, Shan Qiao, M. Naser Lessani, Huan Ning, Wenjun Ma, Jinjing Hu, Pan Yang, Xiaoming Li

    Published 2024-12-01
    “…The combined connectivity-weighted model significantly enhanced prediction accuracy, reducing Mean Absolute Percentage Error (MAPE) by 49.38% across 96.62% of the counties, with the greatest improvements observed in urban and Northeastern counties. …”
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    Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

    Published 2025-02-01
    “…The resultant data was assessed for general errors, plausibility of outputs, and cross-verification of related parameters. …”
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