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Machine learning models for predicting the risk of depressive symptoms in Chinese college students
Published 2025-08-01Get full text
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Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand
Published 2025-03-01“…To improve computational efficiency, we used three algorithms to develop prediction models, including Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and Light Gradient Boosting Machine (LightGBM) algorithms. …”
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Measuring professional preparedness of would-be teachers for pedagogical activity based on criteria-level estimation
Published 2023-12-01“…Objective: to determine the level of future teachers’ professional readiness for pedagogical activity using the statistical method of analysis based on the secondary data of a sociological research; to assess the factors affecting the above level.Methods: the study applied an index method of generalizing the data of sociological measurements to calculate the index of professional readiness for pedagogical activity (Iprpa). …”
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Development and Modeling of the Internet of Things Network for Patients IT Diagnostics
Published 2024-10-01Get full text
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Automated Detection of Reduced Ejection Fraction Using an ECG-Enabled Digital Stethoscope
Published 2025-03-01Get full text
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Analysis of influencing factors and equity in hospitalization expense reimbursement for mobile populations based on random forest model: a cross-sectional study from China
Published 2025-08-01“…After data cleaning, a sample of 3,186 individuals who incurred hospitalization expenses was selected for analysis. …”
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ANALYSIS OF DECODERS BIT ERROR FOR RIJNDAEL And BCH codes
Published 2019-06-01Get full text
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RECOMMENDED TACTICS FOR THE EVALUATION OF POTENTIALLY MALIGNANT DISORDERS IN THE ORAL CAVITY
Published 2018-03-01Get full text
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Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum
Published 2022-12-01“…NST administrative data consists of age, gender, child position, number of siblings, pre-elementary status, father education, mother education and school readiness results. …”
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