Showing 1 - 20 results of 100 for search '(( significantly better decrease ) OR ( significantly ((a decrease) OR (mean decrease)) ))~', query time: 0.50s Refine Results
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    Flowchart of patient selection in this study. by Kazuyoshi Ohkawa (836847)

    Published 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 - by Kazuyoshi Ohkawa (836847)

    Published 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. by Ayana Ablayeva (22103708)

    Published 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. by Aroon La-up (14095691)

    Published 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. by Thierry Jean (20691795)

    Published 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. by Thierry Jean (20691795)

    Published 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. …”