Natacha Alves, Gustavo Rocha, Filipa Flor-de-Lima, Marta Rosário, Susana Pissarra, Mário Mateus, Inês Azevedo, Henrique Soares
Neonatal Resuscitation Practices in Portuguese Delivery Rooms: A Cross-Sectional Study
Acta medica portuguesa
martensite start temperature ms plays pivotal role formulating heat treatment regimes steel paper compilation experimental data literature incorporation expert knowledge construct features employs machine learning algorithms predict ms steel study highlights etr algorithm attains optimal prediction accuracy inclusion atomic features enhances models performance feature selection accomplished evaluating linear nonlinear relationships data using pearson correlation coefficient pcc variance inflation factor vif maximum information coefficient mic subsequently performance machine learning models unknown data compared validate models generalization ability introduction shap values model interpretability analysis unveils influencing mechanisms features target variable finally utilizing specific steel type illustration paper underscores practical value model