Machine learning predicts six-month malnutrition after colorectal cancer surgery
A prospective study of 205 colorectal cancer surgery patients found that an XGBoost model using four clinical variables predicted six-month ...
Tag: XGBoost
Expanded Predictors Improve Classification of Adolescent Overweight and Obesity
A cross-sectional analysis of 17,814 U.S. adolescents found that expanded predictors improved classification of current overweight or obesity, but not ...
Interpretable machine learning predicts Victorian zonal crash counts
A nested-validation study in Victoria found that an interpretable XGBoost model could retrospectively concentrate crashes in small sets of zones, ...
Large language model prompting strategies show no stable advantage for predicting SDS screen-positive status in university students
A study of 6,395 Chinese university students found competitive performance from some LLM prompting strategies but no stable advantage over ...
Study links workplace noise, psychological distress and menstrual abnormalities
An observational study of 1,108 female workers found that psychological distress accounted for 57.3% of the modeled association between occupational ...
Single-center study tests MRI-based machine learning for artery-level revascularization prediction
A retrospective single-center study of 843 patients found that an XGBoost model combining clinical data, T2* mapping and rest myocardial ...
Novel HEP-FIB score combined with machine learning models for non-invasive prediction of significant hepatic fibrosis in chronic hepatitis B patients: a single-center, internally validated study
A retrospective single-center study of 382 chronic hepatitis B patients found that the internally validated HEP-FIB score outperformed APRI, FIB-4 ...
Boosting models forecast Tabriz PM2.5 with mixed short- and multi-day skill
A study using 2013–2023 data from three aggregated Tabriz monitoring stations found that boosting models performed best for short-term forecasts, ...
Same area, different timeframes: unveiling the evolution of landslide patterns and their impact on susceptibility maps
A study of 1,518 landslides in Wanzhou found that machine-learning susceptibility maps with strong within-period accuracy often transferred less reliably ...
Explainable machine learning reveals limits in nanoparticle tumor-delivery prediction
A leakage-aware evaluation of explainable machine learning found modest prediction of nanoparticle tumor delivery, with errors increasing for unseen materials ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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