Results 61 to 70 of about 36,558 (266)
Abstract Background Children with mild intellectual difficulties (MID) are at increased risk of poor mental health and functional outcomes compared to typically developing children. Previous research has primarily focused on deficit‐based comparisons. However, substantial heterogeneity exists in this population, ranging from significant impairment to ...
Foteini Tseliou +5 more
wiley +1 more source
Imbalanced data significantly affects the performance of standard classification models. Data-level approaches primarily use oversampling methods, such as the synthetic minority oversampling technique (SMOTE), to address this problem.
Seung Jee Yang, Kyungjoon Cha
doaj +1 more source
Abstract Background Previous research has established an association between anxiety disorders and suicidal thoughts and attempts; however, much remains unknown about the role of specific anxiety symptoms, anxiety severity, and the impact of co‐occurring depression and hopelessness.
Marianne G. Chirica +3 more
wiley +1 more source
Abstract Background Low socioeconomic position (SEP) in childhood is robustly associated with adolescent mental health difficulties, yet this relationship is changing over time due to contextual and conceptual differences in these constructs. Consistent SEP and mental health data from different cohorts are required to understand changes over time ...
Caitlyn Rawers +3 more
wiley +1 more source
ABSTRACT Background Differentiating demyelinating from axonal polyneuropathies helps for accurate diagnosis and treatment. However, the current clinical tools lack sensitivity to confirm demyelination in peripheral nerves, particularly for proximal nerves.
Jesus E. Fajardo +8 more
wiley +1 more source
This paper proposes a method to enhance the effectiveness of classifying imbalanced data. The main contribution of the method is integrating the K-means clustering algorithm and the minority oversampling technique VCIR to generate synthetic samples that ...
Phan Anh Phong, Le Van Thanh
doaj +1 more source
Diffusion MRI of the Body: Beyond PGSE‐EPI
ABSTRACT Diffusion magnetic resonance imaging (dMRI) is a widely used clinical imaging technique which is sensitive to changes in tissue microstructure including cellularity, perfusion, and tissue damage. DMRI has been used in whole‐body imaging as well as in targeted imaging of every major anatomical region.
Matthew T. Cherukara +6 more
wiley +1 more source
Abstract Potentially traumatic events (PTEs) are associated with cardiovascular disease (CVD) in aging populations. Despite sex differences in PTE exposure and CVD incidence, no study has examined sex‐specific associations between PTEs and CVD in the same sample of middle‐aged and older adults.
Jeanine I. Nasser +5 more
wiley +1 more source
Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets
This research aims to analyze the impact of the Adaptive Synthetic (ADASYN) oversampling technique on the performance of the Naïve Bayes classification algorithm on datasets with class imbalance.
Muhammad Khahfi Zuhanda +4 more
doaj +1 more source
ABSTRACT Purpose To accelerate MRI further, rapid B0 field modulations can be applied during oversampled readout to capture additional physical information, as in Wave‐CAIPI/FRONSAC/local B0 coils modulation techniques. These methods, however, turn the Fourier readout into a non‐Fourier‐encoded dimension that cannot be reconstructed by FFT, posing ...
Rui Tian, Klaus Scheffler
wiley +1 more source

