Prediction of Smartphone Addiction Among Korean Adolescents Based on Physical Activity and Mental Health: A Machine Learning Analysis Using LASSO and SHAP From the Korea Youth Risk Behavior Survey. [PDF]
Alpha PsychiatryLee K, Seo W, Jung SY.
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Novel Sewer Defect Prediction Leveraging Advanced Machine Learning (ML) Models. [PDF]
Water Environ ResSeng V +4 more
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Integrated pixel-wise remote sensing and explainable machine learning for natural hydrogen exploration in southeastern part of Pricaspian Basin, Western Kazakhstan. [PDF]
Sci RepWayo DDK +4 more
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Machine learning-based cardiovascular risk calculator for non-cardiac surgery. [PDF]
Open HeartAl Khatib N +4 more
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Identification of key cardiovascular disease predictive factors from the China Health and Retirement Longitudinal Study dataset using machine learning-based algorithms. [PDF]
J Transl MedChen J +14 more
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From Light to Energy: Machine Learning Algorithms for Position and Energy Deposition Estimation in Scintillator-SiPM Detectors. [PDF]
Sensors (Basel)Simhony Y, Segal A, Amrani O, Etzion E.
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An inflammatory biomarker panel for prediabetes classification using interpretable machine learning. [PDF]
PLoS OneMaalouf M +5 more
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Bioinformatics and machine learning integration reveals a novel 4-gene (GFUS, ARHGAP8, NBL1, and ACTB) biomarker model for prostate cancer. [PDF]
Discov OncolKilicarslan S +4 more
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Predicting Multidrug-Resistant Pneumonia: An Interpretable Machine Learning Model Validated in US and Chinese Patient Cohorts. [PDF]
Infect Drug ResistLan Y +8 more
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