Showing 841 - 860 results of 3,328 for search '(( significant decrease decrease ) OR ( significant all decrease ))~', query time: 0.39s Refine Results
  1. 841

    Overhead view of the eye drop aid. by Yuka Kasai (21354922)

    Published 2025
    “…The success rate in the seated position without the eye drop aid was 71.6%, and this rate decreased with increasing age; with the eye drop aid, the success rate improved significantly to 97.8%. …”
  2. 842

    Supplementary data: Flowchart of the study. by Suphanida Kaewkamchai (19762172)

    Published 2024
    “…<i>albicans</i> in the SDF groups were significantly lower than the control group (<i>p</i><0.001). …”
  3. 843

    Prolonged sitting time and all-cause mortality: the mediating and predictive role of kidney function markers by Li Wang (15202)

    Published 2025
    “…</p> <p>Prolonged daily sitting time is significantly associated with an increased risk of all-cause mortality, potentially mediated by impaired kidney function. …”
  4. 844

    All data. by Ke Li (106849)

    Published 2025
  5. 845

    Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

    Published 2025
    “…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”
  6. 846

    Fig 3 - by Micha Keller (11312748)

    Published 2025
    “…For MFHA durations, CVH exhibits significant concomitant ‘shifting’ of ANS activity between IM- and LF-band during CVH intervention: LF-band duration increases by the amount that IM-band decreases. …”
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  18. 858

    Flowchart of Methodology. by Kamal Hossain (331680)

    Published 2024
    “…</p><p>Results</p><p>Dengue cases in Bangladesh exhibited a significant increase from 2019 to 2023 (excluding 2020 data), with a cumulative total of 513,344 reported cases. …”
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