بدائل البحث:
significantly improved » significantly increased (توسيع البحث)
significantly better » significantly greater (توسيع البحث), significantly higher (توسيع البحث), significantly lower (توسيع البحث)
improved decrease » improved urease (توسيع البحث), marked decrease (توسيع البحث)
better decrease » greater decrease (توسيع البحث), teer decrease (توسيع البحث), between decreased (توسيع البحث)
significantly improved » significantly increased (توسيع البحث)
significantly better » significantly greater (توسيع البحث), significantly higher (توسيع البحث), significantly lower (توسيع البحث)
improved decrease » improved urease (توسيع البحث), marked decrease (توسيع البحث)
better decrease » greater decrease (توسيع البحث), teer decrease (توسيع البحث), between decreased (توسيع البحث)
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101
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103
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Demographics of the enrolled patients.
منشور في 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%. …"
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105
Overhead view of the eye drop aid.
منشور في 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%. …"
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106
Pre- & post awareness session scores.
منشور في 2025"…It helps in better treatment seeking behaviour, improved treatment rates and treatment adherence rates and in turn better cure rates. …"
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VOT vs DOTS TB treatment adherence rates.
منشور في 2025"…It helps in better treatment seeking behaviour, improved treatment rates and treatment adherence rates and in turn better cure rates. …"
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108
Sample size and duration of the pilot study.
منشور في 2025"…It helps in better treatment seeking behaviour, improved treatment rates and treatment adherence rates and in turn better cure rates. …"
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109
Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML
منشور في 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. …"
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Domains of NoCs.
منشور في 2025"…Key implementation strategies co-designed included strengthening community engagement, establishing NoCs, and introducing quality improvement initiatives using the Model for Improvement. …"
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112
Arrangement of PHC facilities in a woreda NoCs.
منشور في 2025"…Key implementation strategies co-designed included strengthening community engagement, establishing NoCs, and introducing quality improvement initiatives using the Model for Improvement. …"
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113
Passive sensing data.
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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114
Surveys.
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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115
Flow of operation of improved KMA.
منشور في 2025"…The computational complexity of the improved model decreased dramatically, but the average classification accuracy was only 1.6% lower than that before the improvement. …"
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116
Improved DAE based on LSTM.
منشور في 2025"…The computational complexity of the improved model decreased dramatically, but the average classification accuracy was only 1.6% lower than that before the improvement. …"
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117
Study data.
منشور في 2025"…</p><p> Conclusion </p><p>During the COVID-19 pandemic, both roxadustat and ESAs effectively improved renal anemia in PD patients, however, the roxadustat group experienced less additional costs for anemia correction and better medication compliance.…"
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118
Summary of clinical outcomes after 9 months.
منشور في 2025"…</p><p> Conclusion </p><p>During the COVID-19 pandemic, both roxadustat and ESAs effectively improved renal anemia in PD patients, however, the roxadustat group experienced less additional costs for anemia correction and better medication compliance.…"
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119
Approval by the research ethics committee.
منشور في 2025"…</p><p> Conclusion </p><p>During the COVID-19 pandemic, both roxadustat and ESAs effectively improved renal anemia in PD patients, however, the roxadustat group experienced less additional costs for anemia correction and better medication compliance.…"
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120
Architecture of Swin-T model.
منشور في 2024"…Moreover, compared to other mainstream image classification models, this model exhibits more balanced performance on a public dataset, with improved accuracy and speed that better align with the practical requirements of pavement inspection. …"