Showing 1 - 20 results of 4,957 for search '(((( learning based decrease ) OR ( a systematic decrease ))) OR ( a marked decrease ))', query time: 0.46s Refine Results
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    Table 2_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”
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    Table 4_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”
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    Table 3_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”
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    Table 1_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”
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    Presentation 1_Prehospital tranexamic acid decreases early mortality in trauma patients: a systematic review and meta-analysis.pdf by Yi Li (1144)

    Published 2025
    “…</p>Conclusion<p>Prehospital TXA decreases early (24-h) mortality in trauma patients without a significant increase in the risk of VTE and other complications, and further studies are still needed to improve and optimize its management strategy.…”
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    Data Sheet 1_Prehospital tranexamic acid decreases early mortality in trauma patients: a systematic review and meta-analysis.docx by Yi Li (1144)

    Published 2025
    “…</p>Conclusion<p>Prehospital TXA decreases early (24-h) mortality in trauma patients without a significant increase in the risk of VTE and other complications, and further studies are still needed to improve and optimize its management strategy.…”
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    Data Sheet 1_Application of radiomics-based prediction model to predict preoperative lymph node metastasis in prostate cancer: a systematic review and meta-analysis.docx by Yanghuang Zheng (21575123)

    Published 2025
    “…Radiomics features without intraclass correlation coefficient preprocessing would lead to a decrease in diagnostic specificity, 0.73 (95% CI [0.53 - 0.92]) (p = 0.04). …”
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