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  1. 1
    Table 1_Development and validation of a clinical prediction model for in-hospital mortality of severe pneumonia based on machine learning.docx

    Table 1_Development and validation of a clinical prediction model for in-hospital mortality of severe pneumonia based on machine learning.docx Autor Kai Xie (2053498)

    Vydáno 2025
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  2. 2
    Supplementary file 3_Development and validation of a model to predict the risk of frailty in older adults with panvascular disease.docx

    Supplementary file 3_Development and validation of a model to predict the risk of frailty in older adults with panvascular disease.docx Autor Xia Gao (327778)

    Vydáno 2025
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  3. 3
    Supplementary file 2_Development and validation of a model to predict the risk of frailty in older adults with panvascular disease.docx

    Supplementary file 2_Development and validation of a model to predict the risk of frailty in older adults with panvascular disease.docx Autor Xia Gao (327778)

    Vydáno 2025
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  4. 4
    Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx

    Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter... Autor Wenjing Jiang (7436471)

    Vydáno 2025
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  5. 5
    Table 1_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter retrospective cohort study.docx

    Table 1_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter... Autor Wenjing Jiang (7436471)

    Vydáno 2025
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  6. 6
    Additional file 1 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study

    Additional file 1 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study Autor Sijie Yu (8895605)

    Vydáno 2025
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  7. 7
    Additional file 2 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study

    Additional file 2 of Machine learning model for predicting severe infection in children with idiopathic nephrotic syndrome: multicenter retrospective study Autor Sijie Yu (8895605)

    Vydáno 2025
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  8. 8
    Image 1_A machine learning-based predictive model for 48-week hepatitis B surface antigen seroclearance in chronic hepatitis B patients treated with pegylated interferon α-2b: prediction at week 24.tif

    Image 1_A machine learning-based predictive model for 48-week hepatitis B surface antigen seroclearance in chronic hepatitis B patients treated with pegylated interferon α-2b: pred... Autor Nan Kong (6917111)

    Vydáno 2025
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  9. 9
    Table 1_A machine learning-based predictive model for 48-week hepatitis B surface antigen seroclearance in chronic hepatitis B patients treated with pegylated interferon α-2b: prediction at week 24.doc

    Table 1_A machine learning-based predictive model for 48-week hepatitis B surface antigen seroclearance in chronic hepatitis B patients treated with pegylated interferon α-2b: pred... Autor Nan Kong (6917111)

    Vydáno 2025
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  10. 10
    SPIRIT schedule of enrollment, interventions, and assessment.

    SPIRIT schedule of enrollment, interventions, and assessment. Autor Kim Christin Honselmann (21176936)

    Vydáno 2025
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