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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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Evaluating the Predictive Value of HOMA-IR in Gestational Diabetes: A Case–Control Study from Romania
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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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Predicting image processing-normalized DL-EPRT performance from Rudimentary Cihal method-based counterpart
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Zero-Shot Classification of Art With Large Language Models
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Diagnostic value of 18F-PSMA-1007 PET/CT for predicting the pathological grade of prostate cancer
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