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  1. 401

    Food insecurity status and determinants among Urban Productive Safety Net Program beneficiary households in Addis Ababa, Ethiopia. by Atimen Derso, Hailemichael Bizuneh, Awoke Keleb, Ayechew Ademas, Metadel Adane

    Published 2021-01-01
    “…<h4>Conclusion</h4>We found that three in four of Addis Ababa's UPSNP beneficiary households were food-insecure. …”
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  2. 402

    Association of dietary patterns with hypertension among adults residing in Tibetan China: findings from a population-based study by Xinran Li, Xin Zhang, Qiling Gou, Qingtao Meng, Xiaoping Chen

    Published 2025-03-01
    “…ObjectivesThis study aimed to investigate the dietary patterns of Tibetan residents and explore their association with the prevalence of hypertension.MethodsA multi-stage, stratified, random sampling method was employed to include Tibetan residents from Luhuo County, Garze Tibetan Autonomous Prefecture, Sichuan Province, China. …”
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  3. 403

    A Deep Learning Approach for Multiclass Attack Classification in IoT and IIoT Networks Using Convolutional Neural Networks by Ali Abdi Seyedkolaei, Fatemeh Mahmoudi, José García

    Published 2025-05-01
    “…Leveraging the DNN-EdgeIIoT dataset, which includes a wide range of attack types and traffic scenarios, we conduct comprehensive experiments to compare the CNN-based model against traditional machine learning techniques, including decision trees, random forests, support vector machines, and K-nearest neighbors. …”
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    Ensemble machine learning for predicting academic performance in STEM education by Aklilu Mandefro Messele

    Published 2025-08-01
    “…We gathered secondary data from the University of Gondar, Addis Ababa University, and Bahir Dar University, employing techniques such as Random Forest, CatBoost, Extreme Gradient Boosting, Gradient Boosting, Decision Trees, Logistic Regression, and Support Vector Machines. …”
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    Sleep quality in older adults with cognitive frailty: current status and influencing factors by Mei He, XiaoLi Yuan, XiaoLing Zhao, Heting Liang, Yuhong Long, Yan Zhang, Dan Meng, Pan Cai

    Published 2025-08-01
    “…Analysis by χ 2 found that factors such as marital status, place of residence, average monthly household income per capita, smoking status, drinking status, types of chronic diseases, degree of anxiety, participation in social activities, and physical exercise showed significant differences in relation to sleep disorders among older adults with CF (p < 0.05). Further analysis by binary logistic regression indicated that living in rural areas (OR = 0.706, 95% CI: 0.537–0.930, p = 0.013), drinking alcohol (OR = 0.584, 95% CI: 0.382–0.893, p = 0.013), an average monthly household income per capita of less than 2,000 yuan (OR = 1.413, 95% CI: 1.070–1.866, p = 0.015), participating in social activities daily (OR = 0.607, 95% CI: 0.381–0.967, p = 0.036), participating in social activities 1–3 times a week (OR = 0.507, 95% CI: 0.377–0.682, p < 0.001), and the state of anxiety (OR = 2.393, 95% CI: 1.831–3.126, p < 0.001) were all independent factors affecting the sleep quality of older adults with cognitive frailty (p < 0.05). …”
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  16. 416

    Validation of a deep learning model for cattle lameness detection: Comparison of human scorer performance and automated gait analysis by Sandra Reitmaier, Serhan Narli

    Published 2025-12-01
    “…The system was trained using two strategies: a direct multi-class Random Forest model and a hierarchical model combining binary and multi-class stages. …”
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    Exploring the value of arterial spin labeling and six diffusion MRI models in differentiating solid benign and malignant renal tumors by Mengmeng Gao, Shichao Li, Guanjie Yuan, Weinuo Qu, Kangwen He, Zhouyan Liao, Ting Yin, Wei Chen, Qian Chu, Zhen Li

    Published 2024-12-01
    “…The mean and peak renal blood flow (RBFmean and RBFpeak) from ASL and fourteen diffusion parameters from mono-exponential DWI (Mono_DWI), intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), stretched exponential model (SEM), fractional order calculus (FROC), and continuous-time random-walk (CTRW) model were analyzed. Binary logistic regression was used to determine the optimal parameter combinations. …”
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    Cervical Cancer Prediction Based on Imbalanced Data Using Machine Learning Algorithms with a Variety of Sampling Methods by Mădălina Maria Muraru, Zsuzsa Simó, László Barna Iantovics

    Published 2024-11-01
    “…To identify the best imbalanced technique for this medical dataset, the performances of eleven important resampling methods are compared, combined with the following state-of-the-art ML models that are frequently applied in predictive healtchare research: K-Nearest Neighbors (KNN) (with <i>k</i> values of 2 and 3), binary Logistic Regression (bLR), and Random Forest (RF). …”
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