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    Risk Factors for Gout in Taiwan Biobank: A Machine Learning Approach by Liu YR, Nfor ON, Zhong JH, Lin CY, Liaw YP

    Published 2024-11-01
    “…The predictive performance was evaluated using a split dataset (80% training set and 20% test set).Results: Variable importance analysis was performed to identify key variables, with uric acid and gender emerging as the most influential risk factors. …”
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    Predicting biomass transportation costs: A machine learning approach for enhanced biofuel competitiveness by Ali Omidkar, Razieh Es’haghian, Hua Song

    Published 2025-09-01
    “…Despite extensive scholarly inquiry, a comprehensive and accurate predictive model for biomass road transport costs remains elusive. This study endeavors to address this critical knowledge gap by conducting an in-depth analysis of global biomass road transport data to meticulously identify the key parameters that exert a significant influence on transportation costs. …”
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    Investigating Factors Contributing to Urban Traffic Incident Risk Using High-Resolution Heterogeneous Data by Dongpeng Zhu, Yuzhi Zhang, Dilin Wen, Linchao Li

    Published 2025-01-01
    “…Compared to nonworking days, trips during working days are more relevant to the traffic incident risk. Road network variables such as the length of various road types and intersections are positively correlated with the incident risk. …”
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    Exploring perceived walkability in one-way commercial streets: An application of 360° immersive videos. by Dao Chi Vo, Jeongseob Kim

    Published 2024-01-01
    “…We recruited 40 students to assess the perceived walkability of one-way roads based on ten VR scenarios. For each scenario, variables such as road width, one-way traffic status, vehicle approach direction, and the presence of sidewalks were configured differently. …”
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