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significant adverse » significant advantage (Expand Search), significant decrease (Expand Search)
adverse based » adversity based (Expand Search)
mean decrease » a decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
Showing 41 - 60 results of 20,300 for search '(( significant adverse based ) OR ( significant ((gap decrease) OR (mean decrease)) ))', query time: 0.73s Refine Results
  1. 41
    DICER protein expression is significantly decreased in the absence of MOV10 and FMRP.

    DICER protein expression is significantly decreased in the absence of MOV10 and FMRP. by Monica C. Lannom (11772729)

    Published 2021
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  2. 42
    Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone.

    Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

    Published 2020
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  3. 43
    Adversely interacting drug pairs and non-interacting drug pairs significantly differ with regard to the 11 features selected.

    Adversely interacting drug pairs and non-interacting drug pairs significantly differ with regard to the 11 features selected. by Sheng Qian (5944997)

    Published 2019
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  4. 44
    Transcription Factor (TF) activity and expression before adverse histopathology.

    Transcription Factor (TF) activity and expression before adverse histopathology. by Anika Liu (8411805)

    Published 2022
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  5. 45
    Table 2_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx

    Table 2_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx by Yiqu Wei (22011386)

    Published 2025
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  6. 46
    Image 4_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif

    Image 4_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

    Published 2025
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  7. 47
    Image 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif

    Image 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

    Published 2025
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  8. 48
    Image 3_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif

    Image 3_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

    Published 2025
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  9. 49
    Table 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx

    Table 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx by Yiqu Wei (22011386)

    Published 2025
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  10. 50
    Image 2_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif

    Image 2_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

    Published 2025
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  11. 51
    Feature importance of the extracted characteristics from the simulation using Mean Decrease in Impurity (MDI).

    Feature importance of the extracted characteristics from the simulation using Mean Decrease in Impurity (MDI). by Simon Bin Akter (17951860)

    Published 2024
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  12. 52
    SD and mean TTC under different weights.

    SD and mean TTC under different weights. by Jianrong Cai (14245136)

    Published 2024
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  13. 53
    Distribution of digital financial inclusion impact on carbon intensity gap in agriculture by province.

    Distribution of digital financial inclusion impact on carbon intensity gap in agriculture by province. by Lingzhi Tan (19146572)

    Published 2024
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  14. 54
    Profile of adverse events (AE) based on initial dose of enzalutamide.

    Profile of adverse events (AE) based on initial dose of enzalutamide. by Shunsuke Tsuzuki (11512686)

    Published 2021
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  15. 55
    Adverse events and adverse drug reaction in geriatrics.

    Adverse events and adverse drug reaction in geriatrics. by Jae Gyoon Kim (16426036)

    Published 2023
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  16. 56
    Sample size estimation based on preliminary date.

    Sample size estimation based on preliminary date. by Jacquelyn Y. Taylor (6386456)

    Published 2024
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  17. 57
    Mean scores, standard deviations, and significance on key measures and subscales by gender group.

    Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)

    Published 2025
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  18. 58
    Machine Learning Model Performance Sorted by Decreasing MAE.

    Machine Learning Model Performance Sorted by Decreasing MAE. by Renan N. D. Almeida (9265283)

    Published 2022
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  19. 59
    Adverse event severity based on age, gender, dose and time to onset.

    Adverse event severity based on age, gender, dose and time to onset. by Louis Okeibunor Odeigah (13250062)

    Published 2022
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  20. 60
    Adverse event categories based on age, gender, dose, and time to onset.

    Adverse event categories based on age, gender, dose, and time to onset. by Louis Okeibunor Odeigah (13250062)

    Published 2022
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