Machine Learning Reveals Hidden Craving Profiles in Adolescent-Onset Synthetic Drug Addiction
A study of 1,008 patients in Tianjin identifies three distinct craving profiles in adolescent-onset new psychoactive substance use disorder and ...
A study of 1,008 patients in Tianjin identifies three distinct craving profiles in adolescent-onset new psychoactive substance use disorder and ...
A new study of 354,565 freight shipments shows that prompted GPT-4o ranks cancellation risk as well as boosted trees yet ...
An interpretable machine-learning study of Shahu Lake shows that the drivers of algal blooms shift with the seasons, from long-term ...
A 25-year monitoring record and machine learning forecasts reveal shifting heavy metal contamination in Moroccan Mediterranean river sediments, with lead ...
An interpretable machine learning model trained on 20 years of rural Spanish registry data outperforms logistic regression in predicting 30-day ...
A multicenter Turkish time-series study finds that calendar patterns and historical attendance outperform weather data in forecasting daily emergency department ...
Researchers combined kinetic Monte Carlo simulations with interpretable machine learning to predict and explain how additive manufacturing process parameters control ...
A machine learning radiomics approach that maps internal tumor habitats on venous-phase CT scans accurately distinguishes retroperitoneal dedifferentiated liposarcoma from ...
A Chinese research team has combined COMSOL numerical simulation with an optimized XGBoost-LSTM hybrid machine learning model to predict coal ...
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© 2025 Scienmag - Science Magazine