بدائل البحث:
evolution algorithms » evolutionary algorithms (توسيع البحث), evolutionary algorithm (توسيع البحث), recognition algorithms (توسيع البحث)
work optimization » wolf optimization (توسيع البحث), swarm optimization (توسيع البحث), dose optimization (توسيع البحث)
process evolution » process evaluation (توسيع البحث), process regulation (توسيع البحث), stress evolution (توسيع البحث)
binary health » primary health (توسيع البحث)
data process » data processing (توسيع البحث), damage process (توسيع البحث), data access (توسيع البحث)
health work » health worker (توسيع البحث), health workers (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
evolution algorithms » evolutionary algorithms (توسيع البحث), evolutionary algorithm (توسيع البحث), recognition algorithms (توسيع البحث)
work optimization » wolf optimization (توسيع البحث), swarm optimization (توسيع البحث), dose optimization (توسيع البحث)
process evolution » process evaluation (توسيع البحث), process regulation (توسيع البحث), stress evolution (توسيع البحث)
binary health » primary health (توسيع البحث)
data process » data processing (توسيع البحث), damage process (توسيع البحث), data access (توسيع البحث)
health work » health worker (توسيع البحث), health workers (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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Data_Sheet_1_Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning.ZIP
منشور في 2021"…Besides, we use stepwise logistic regression, binary bat algorithm, hybrid improved dragonfly algorithm and the proposed prediction model to predict mental health of medical workers. …"
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Table 1_Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis.docx
منشور في 2025"…Demographic, clinical, and heavy metal biomarker data (e.g., blood lead and cadmium levels) were analyzed as features, with hearing loss status—defined as a pure-tone average threshold exceeding 25 dB HL across 500, 1,000, 2000, and 4,000 Hz in the better ear—serving as the binary outcome. Multiple machine learning algorithms, including Random Forest, XGBoost, Gradient Boosting, Logistic Regression, CatBoost, and MLP, were optimized and evaluated. …"
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Seed mix selection model
منشور في 2022"…The genetic algorithm then operated over 1000 iterations, applying crossover and mutation processes to optimize bee richness. …"