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    Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms. by Jo-Wai Douglas Wang

    Published 2025-01-01
    “…Top performing models were random forests, naïve Bayes [NB], extreme gradient boosting, and logistic regression (AUROCs ranging 0.682-0.696, p>0.05). …”
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    Clostridium difficile Peritonitis: An Emerging Infection in Peritoneal Dialysis Patients by Saira Chaughtai, Bhavika Gandhi, Zeeshan Chaughtai, Dana Tarina, Mohammad A. Hossain, Arif Asif

    Published 2018-01-01
    “…This article highlights C. difficile infection in a PD patient and raises awareness of this infection in dialysis patients.…”
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