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    Explainable machine learning for predicting lung metastasis of colorectal cancer by Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao

    Published 2025-04-01
    “…Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning (ML) that can evaluate the risk of lung metastasis with newly diagnosed colorectal cancer (CRC) using Shapley Additive exPlanations (SHAP). …”
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    PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems by Georgina Mace, Jorn P. W. Scharlemann, Drew W. Purves, Lawrence Hudson, Tim Newbold, Andy Purvis

    Published 2012-12-01
    “…<p>The PREDICTS project (<a href="http://www.predicts.org.uk/">www.predicts.org.uk</a>) is a three-year NERC-funded project to model and predict at a global scale how local terrestrial diversity responds to human pressures such as land use, land cover, pollution, invasive species and infrastructure. …”
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