Machine Learning With Threshold Optimization Could Help Reduce Unnecessary Appendectomies in Adults
Researchers in Croatia show that threshold-calibrated machine learning models built on routine clinical and laboratory data can identify a small ...
Researchers in Croatia show that threshold-calibrated machine learning models built on routine clinical and laboratory data can identify a small ...
A large MIMIC-IV analysis found that elevated serum osmolality was independently associated with inflammatory bowel disease in hospitalized patients with ...
Researchers in China built an interpretable Random Forest model that predicts which women with diminished ovarian reserve will progress to ...
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 ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine