“…Patients with baseline cannabis use and heavy cannabis use were at increased risk of dropout (38.9% and 48.1%, respectively). When evaluating these trends by gender, only female baseline users and male heavy users are at increased risk of premature dropout. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…CONCLUSIONS: We have shown that DeepSacon can reliably predict solvent accessibility and contact number with stacked sparse autoencoder and a dropout approach.…”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The dropout rate was the highest in the non-cognitive selection group (p < 0.001). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…For further modified intention to treat (mITT) analysis 1519 patients were eligible and for per protocol (PP) analysis 1346 patients. RESULTS: Patients’ dropout was 11.4%. Eradication rate for 7 day triple therapy with proton pump inhibitor (PPI) + Clarithromycin (C) + Amoxicillin (A) was 88.7% PP and 72.0% mITT; for PPI + C + Metronidazole (M) 85.2% PP and 84.4% mITT. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We compare the performance of the various funnel plot asymmetry tests in an extensive simulation study where we varied the true hazard ratio (0.5 to 1), the number of published trials (N=10 to 100), the degree of censoring within trials (0% to 90%), and the mechanism leading to participant dropout (noninformative versus informative). Results demonstrate that previous well‐known tests for detecting funnel plot asymmetry suffer from low power or excessive type‐I error rates in meta‐analysis of survival data, particularly when trials are affected by participant dropout. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…When comparing fresh (0–2 months) and old (3–6 months) fecal piles, samples from fresh piles had more matching genotypes across samples, better amplification success and less allelic dropout. Samples defecated during the summer and collected within 2 months of deposition had highest number of genotypes matching among samples, and lowest rates of amplification failure and allelic dropout. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The average number of school years attended by the analyzed pregnant teenagers was 8.1 years, however, there was a high dropout rate of 40.1%. The age at first intercourse was low and concurs with the high incidence of unstructured families. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Peripapillary vessel density, which is reduced in eyes with glaucoma, has been proposed as a diagnostic tool for the desease and peripapillary choroidal microvasculature dropout(MvD) is considered one of pathophysiological manifestation of glaucomatous damage. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The proposed model also is capable of generalization with standard and flexible Dropout layers. Through flexible Dropout layer, the model also obtains flexibility to adapt changing window sizes in sequential modelling. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…A programme including a phase of low energy formula diet (810–833 kcal day(−1)) showed the largest mean (SD) weight change at 12 months of –12.4 (11.4) kg for complete cases, with 25.3% dropout. Limitations or differences in evaluation and reporting (particularly for denominators), unclear dropout rates, and differences between participant groups in terms of comorbidities and psychological characteristics, made comparisons between WMSs and inferences challenging. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The aims of the present prospective longitudinal study were to (a) examine proportions reporting regular exercise, non‐regular exercise, and exercise dropout; (b) identify motives and barriers to exercise; and (c) compare motives between regular and non‐regular exercisers the first year of fitness club membership. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Previous weight loss attempts affect both dropout and ability to lose weight.…”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In particular, we observed that a combination of dropout and [Formula: see text] regularization can lead to a validation loss function that does not depend on the number of training iterations and does not experience a significant decrease in prediction accuracy compared to models with [Formula: see text] , dropout, or no regularization. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…OBJECTIVE: Adolescents and young adults (AYA) with common endocrine disorders show a high dropout (up to 50%) after the transfer from paediatric to adult endocrinology. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In this study, we describe a system that can avoid collision with human hands while the robot is executing an image-based visual servoing (IBVS) task. We use Monte Carlo dropout (MC dropout) to transform a deep neural network (DNN) to a Bayesian DNN, and learn the repulsive position for hand avoidance. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…RESULTS: Dropout rates and mean acceptability scores for telephone-based psychosocial interventions were 38.5% and 8.63, while those for TCs were 41.7% and 7.57, respectively. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…While PSM and IPW have been historically used in conjunction with linear regression, machine learning methods –including deep learning with propensity dropout– have been proposed to account for nonlinear treatment assignments. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Results: The results showed that high treatment self-efficacy was a predictor of both lower dropout rates and greater symptom reduction. Significant interaction effects between time and treatment self-efficacy were found for several of the nine modules that constitutes the treatment program, suggesting that treatment self-efficacy could be a moderator of symptom reduction. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Although unsupervised clustering methods have been proposed for de novo identification of cell populations, their performance and robustness suffer from the high variability, low capture efficiency and high dropout rates which are characteristic of scRNA-seq experiments. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Based on the improved model of dropout optimization algorithm, this paper proposes an artificial intelligence sports training node prediction method based on the combination of dropout optimization algorithm and short-term memory neural network (LSTM), which avoids the establishment of complex sports training models. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso