Results 91 to 100 of about 93,524 (286)

Multicontinuum Homogenization for Poroelasticity Model

International Journal for Numerical Methods in Fluids, EarlyView.
This work derives a generalized multicontinuum poroelasticity model using the multicontinuum homogenization method to enable accurate coarse‐grid simulations of coupled flow–mechanics processes in highly heterogeneous porous media. Coupled constraint cell problems are formulated, and the corresponding multicontinuum equations are rigorously derived ...
Dmitry Ammosov, Mohammed Al Kobaisi, Yalchin Efendiev   +2 more
wiley   +1 more source

IMPROVING PERFORMANCE FOR IMBALANCED DATA CLASSIFICATION USING OVERSAMPLING AND CHARACTERISTICS OF EACH CLUSTER

Tạp chí Khoa học
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

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 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

Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
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, Lisya Permata, Hartono, Erianto Ongko, Desniarti   +4 more
doaj   +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

GLoW SMOTE-D: Oversampling Technique to Improve Prediction Model Performance of Students Failure in Courses

IEEE Access
The percentage of passing courses is dependent on the assistance provided to students. To ensure the effectiveness of these efforts, identifying students at risk of course failure as early as possible is crucial.
Susana Limanto, Joko Lianto Buliali, Ahmad Saikhu   +2 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

Enhanced Diagnosis of Thyroid Diseases Through Advanced Machine Learning Methodologies

Sci
Thyroid disease is a health concern related to the thyroid gland, which is vital for controlling the metabolism of the human body. Predominantly affecting women in their fourth or fifth decades of life, thyroid disease can result in physical and mental ...
Osasere Oture, Muhammad Zahid Iqbal, Xining (Ning) Wang   +2 more
doaj   +1 more source