Results 111 to 120 of about 111,551 (360)

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population

ESC Heart Failure, Volume 12, Issue 2, Page 859-868, April 2025.
Abstract Aims Natriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established.
Yuichiro Mori, Shingo Fukuma, Kyohei Yamaji, Atsushi Mizuno, Naoki Kondo, Kosuke Inoue   +5 more
wiley   +1 more source

GMO-AC: Gaussian-Based Minority Oversampling With Adaptive Outlier Filtering and Class Overlap Weighting

IEEE Access
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

Sleep enhances gamma oscillations in the seizure onset zone and broadband activity in the irritative zone of focal cortical dysplasia

Epilepsia Open, EarlyView.
Abstract Objective Focal cortical dysplasia (FCD) is a leading cause of drug‐resistant epilepsy and is associated with sleep‐related seizures, yet the underlying electrophysiological mechanisms during different brain states remain poorly understood. We investigated whether fast oscillations (FOs) within the seizure onset zone (SOZ) and irritative zone (
Mohammad F. Khazali, Nina Schwoon, Armin Brandt, Matthias Dümpelmann, Yiwen Li Hegner, Nicolas Roehri, Dirk‐Matthias Altenmüller, Victoria San Antonio‐Arce, Peter C. Reinacher, Julia M. Nakagawa, Soroush Doostkam, Theo Demerath, Horst Urbach, Andreas Schulze‐Bonhage, Marcel Heers   +14 more
wiley   +1 more source

Interpretable machine learning enables early and accurate detection of drug‐induced liver injury: A multicenter study with real‐world clinical translation

Interdisciplinary Medicine, EarlyView.
This study develops an interpretable gradient‐boosting model that accurately identifies drug‐induced liver injury (DILI) using routine laboratory data. The model explains key clinical features through SHapley Additive exPlanations analysis and detects DILI earlier than expert evaluation, offering a transparent and practical tool for precision ...
Jingyi Ling, Shian Zhang, Jun Lin, Zhengju Xu, Runcheng Xu, Qian Lv, Kaixiang Zhang, Sheng Liu, Jie Guo, Cheng Hua, Yin Jia, Xiaoyu Xu, Kun Qian, Shanrong Liu   +13 more
wiley   +1 more source

EFN-SMOTE: An effective oversampling technique for credit card fraud detection by utilizing noise filtering and fuzzy c-means clustering

, 2023
Hadeel Ahmad, Bassam Kasasbeh, Balqees Aldabaybah, Enas Rawashdeh   +3 more
openalex   +1 more source

Differences in patterns of attention deficit/hyperactivity disorder medication use in US children

JCPP Advances, EarlyView.
Abstract Background Understanding attention deficit/hyperactivity disorder (ADHD) medication patterns is crucial for optimizing treatment outcomes. There are limited data on racial, ethnic, gender and socioeconomic treatment differences across longitudinal national samples.
Jennie E. Ryan, Alexander Weigard, Sean Esteban McCabe, Timothy E. Wilens, Philip T. Veliz   +4 more
wiley   +1 more source

Decision‐making and risk‐taking as predictors of health risk behaviors in the Millennium Cohort Study

JCPP Advances, EarlyView.
Abstract Background Facets of decision‐making and risk‐taking are implicated in adolescent health risk behaviors; however, whether they may lead to adolescent engagement in substance use, gambling, and self‐harm is unknown. Methods We used the Millennium Cohort Study to test whether a task‐based measure of decision‐making and risk‐taking predicts ...
Nicole G. Hammond, Georgia Condran, Elise E. DeVito, Marie‐Claude Geoffroy, Ian Colman   +4 more
wiley   +1 more source

Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications

Sensors, 2009
Jerk monitoring, defined as the first derivative of acceleration, has become a major issue in computerized numeric controlled (CNC) machines. Several works highlight the necessity of measuring jerk in a reliable way for improving production processes ...
Eduardo Cabal-Yepez, Rene J. Romero-Troncoso, Roque A. Osornio-Rios, Jose J. Rangel-Magdaleno   +3 more
doaj   +1 more source

Factors associated with better emotional, behavioural and educational outcomes in children with mild intellectual difficulties

JCPP Advances, EarlyView.
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, Charlotte A. Dennison, Christopher B. Eaton, Jessica M. Armitage, Frances Rice, Stephan Collishaw   +5 more
wiley   +1 more source