Machine learning method helps predict mental health symptoms in adolescents
In recent decades researchers have shown that an adolescent’s neurobiology and environment interact to shape emotional and behavioral development, but...
method
DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data
DeepASD overviewDeepASD receives \(N\) patients data and each patient is associated with \(K\) modalities. Let \(\bfX=\\bfx_i\_i=1^N\) denotes the raw multimodal...
Identifying alternately poisoning attacks in federated learning online using trajectory anomaly detection method
We conducted experimental evaluations within the federated learning framework FedAvg to assess the effectiveness of our method in detecting covert...
A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features
Cells and culture conditionsThe following cells were used in this study (all human, except the monkey cells): A549 cells (lung...
A deep learning-based combination method of spatio-temporal prediction for regional mining surface subsidence
Study areaA mining area in Heze City, Shandong Province, China was selected as the study area, its geographical location and...
Effectiveness of the flipped classroom method using clinical scenarios and Educational Technology versus Subject-Based Lectures in a gastrointestinal physiology course for medical students | BMC Medical Education
The primary goal of the educational system in medical fields is to achieve deep learning among learners, ensuring that the...
