Logistic Regression Matches Machine Learning in Thyroid Nodule Cancer Risk Stratification
A temporal validation study shows logistic regression performs as well as machine learning in predicting thyroid nodule malignancy.
A temporal validation study shows logistic regression performs as well as machine learning in predicting thyroid nodule malignancy.
A study of community-based chronic obstructive pulmonary disease patients found that an interpretable logistic regression model using six clinical predictors ...
Researchers developed and externally validated explainable machine learning models using routinely available admission data to predict in-hospital adverse events in ...
A radiological study of 306 Egyptian adults demonstrated that machine learning algorithms, led by decision trees using femoral head diameter, ...
A hybrid data-driven framework combining finite element simulations and transfer learning predicts fiber-reinforced soft actuator bending deformation with high precision.
A multicenter cross-sectional study demonstrated that integrating Traditional Chinese Medicine constitutional profiles with conventional health indicators in a machine learning ...
Researchers demonstrated that an artificial neural network trained on basic water quality parameters accurately predicts persistent groundwater mercury levels near ...
Triaxial tests and an interpretable machine learning framework show that matrix cementation reverses whether soft rock blocks strengthen or weaken ...
A sensitivity analysis using MLP and RBF neural networks on synthetic cooling data finds that temperature difference, airflow, and mass ...
A study of 762,106 buildings damaged in Nepal's 2015 Gorkha earthquake combines an MLP classifier with imbalance correction, sensitivity analysis, ...
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© 2026 Scienmag - Science Magazine