“…INTRODUCTION: Treatment of substance use disorders (SUDs) is challenging with high rates of treatment dropout and relapse, particularly among individuals with comorbid psychiatric conditions. …”
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“…This work is made to improve the performance of deep learning-based classifiers like recurrent neural networks (RNN) and convolutional neural networks (CNN) for different valvular heart problems using tuning of hyperparameters like learning rate of optimizers, dropout rate, and hidden layer. Hyper-parameter tuning is used to optimize the performances of various deep learning models and their learning curves for real-time analysis. …”
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“…BACKGROUND: Among patients who express interest in bariatric surgery, dropout rates from bariatric surgery programs are reported as high as 60%. …”
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“…Under sustained adrenergic load excessive MCU-dependent (m)Ca(2+) uptake drives cardiomyocyte dropout, perhaps independent of classical mitochondrial permeability transition pore opening, and compromises contractile function. …”
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“…BACKGROUND: The Covid-19 pandemic requires the government to take various prevention and countermeasures, one of which is the Covid-19 Vaccination program, however, the program experiences a high dropout at various doses and causes immunization stress related response (ISRR), especially in the elderly. …”
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“…RESULTS: Five and six participants were allocated to the TW and WT groups, respectively, and no dropout occurred throughout the study. VR-VET considerably improved LBT scores, FOR variables (FOR-RT, FOR-SR), FOP-LEFT variables (FOP-LEFT-RT, FOP-LEFT-SR), and FOR-LEFT variables (FOR-LEFT-RT, FOR-LEFT-SR) compared to waiting without VR-VET. …”
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“…Data augmentation and dropout regularization are employed to achieve best convergence. …”
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“…The interaction between the type of intervention (TSC vs FFA) and behavioral change stage (pre‐ vs post‐action stage) in diet and exercise for the dropout rate was assessed. RESULTS: Among the 1,915 participants (mean age 56 ± 6 years; 36% women) enrolled, 828, 564 and 264 patients belonged to the control, TSC and FFA groups, respectively. …”
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“…CTC aims to prevent alcohol and drug abuse, violence, delinquency, school dropout, and depressive symptoms among adolescents with a systemic multi-level strategy. …”
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“…Our results demonstrate that patient satisfaction and adherence were high and similar between groups, although a significantly lower dropout rate is observed in the digital group (11/70, 15.7% versus 24/70, 34.3% in the conventional group; P = 0.019). …”
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“…The popular sports disciplines were baseball, soccer, and track and field in males, and volleyball, basketball, softball in females. The dropout rate, age at diagnosis, bone union rate, and treatment period did not differ between the sexes. …”
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“…Binary logistic regressions, parametric and non-parametric methods were used for our sample to determine the relevance of biological (infertility diagnoses, maternal and paternal age) and lifestyle factors (smoking, drinking, over- and underweight) on the outcome of infertility treatment (clinical pregnancy, live birth, miscarriage, dropout rate). In addition, chi-square tests were used to examine differences in the outcome depending on the number of risk factors being present. …”
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“…Five overfitting prevention methods are summarized: batch normalization, dropout, weight initialization, and data augmentation. …”
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“…The proposed ASR-DFCNN model was designed with the sequential keras model with four dense layers, with the first three dense layers fitted with the ReLU activation function and the final dense layer fitted with a tanh activation function with a dropout of 0.2. The ASR-DFCNN model was compiled with a NADAM optimizer with the weight decay of L2 regularization. …”
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“…No significant differences in treatment response (measured by dropout and relapse rates) were reported between the two groups. …”
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“…CONCLUSION: Patients with low economic status, low levels of education, and who need adjuvant intravesical therapy had considerably greater treatment dropout rates.…”
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“…INTRODUCTION: Midcareer is a critical transition point for biomedical research faculty and a common dropout point from an NIH-funded career. We report a study to assess the efficacy of a group peer mentoring program for diverse biomedical researchers in academic medicine, seeking to improve vitality, career advancement, and cross-cultural competence. …”
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“…The majority of studies were from high-income countries – many were in specific populations (such as those with physical health problems) and were generally of low quality. Dropout rates across the included studies were low (1 participant on average per 100 participants). …”
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“…The comparison of different 4 neural network models along with feature selection methods on 5 Alzheimer’s gene expression datasets showed that the simple basic neural network model obtains a better performance (66% of accuracy) than other more complex methods with dropout and weight regularization of the network.…”
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“…We also assessed adverse effects and dropout rates. This review was preregistered in the International Prospective Register of Systematic Reviews (CRD42020193257). …”
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