يعرض 1 - 20 نتائج من 100 نتيجة بحث عن '(( significantly ((better decrease) OR (mean decrease)) ) OR ( significantly a decrease ))~', وقت الاستعلام: 0.58s تنقيح النتائج
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    Flowchart of patient selection in this study. حسب Kazuyoshi Ohkawa (836847)

    منشور في 2024
    "…Among the letrozole-treated patients, the mean FIB-4 index tended to decline during letrozole treatment; a significant decrease was observed at 18 and 24 months compared with the baseline values (p = 0.044 and p = 0.013). …"
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    S1 Data - حسب Kazuyoshi Ohkawa (836847)

    منشور في 2024
    "…Among the letrozole-treated patients, the mean FIB-4 index tended to decline during letrozole treatment; a significant decrease was observed at 18 and 24 months compared with the baseline values (p = 0.044 and p = 0.013). …"
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    Data cleaning and preparation algorithm. حسب Ayana Ablayeva (22103708)

    منشور في 2025
    "…</p><p>Conclusions</p><p>Liver cancer morbidity and mortality rates have risen in Kazakhstan over the past decade, with a slight decrease during the early COVID-19 pandemic. …"
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    Data. حسب Aroon La-up (14095691)

    منشور في 2025
    "…This study found a statistically significant decrease in BMD in the group with the lowest U-Cd levels (<2.0 μg/g creatinine, p = 0.001) and in the overall sample (from 0.392 ± 0.079 μg/g creatinine in 2019 to 0.384 ± 0.094 μg/g creatinine in 2022, p = 0.004). …"
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    Passive sensing data. حسب Thierry Jean (20691795)

    منشور في 2025
    "…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …"
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    Surveys. حسب Thierry Jean (20691795)

    منشور في 2025
    "…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …"