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Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis
Published 2025-04-01“…ConclusionsSocial media textual content can be a useful tool for predicting depression. Demographics, language, social media activity, and temporal features should be considered to maximize the accuracy of depression prediction models. …”
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Topographic Position Index Predicts Within-Field Yield Variation in a Dryland Cereal Production System
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Prediction of heart failure risk factors from retinal optical imaging via explainable machine learning
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Improving rice yield prediction with multi-modal UAV data: hyperspectral, thermal, and LiDAR integration
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Toward Low-Cost Digital Twins for Urban Transportation Systems
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Innovating engineering education with AI: a case study on ChatGPT 4.0’s role in statics-physics
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