Objective To develop and validate machine learning (ML)-based models to predict lymph node metastasis (LNM) in patients with gastric cancer (GC). Design Retrospective cohort study. Setting Second ...
Simple models are easier to interpret. Shorter training times. Enhanced generalization by reducing overfitting. Easier to implement by software developer. Reduced ...
Introduction Angina with no obstructive coronary artery disease (ANOCA) affects millions and is frequently under-recognised because diagnostic pathways and risk tools predominantly target obstructive ...
A predictive analytics and flight operations platform that estimates flight delay probabilities using historical data, real-time airport congestion patterns, and live meteorological conditions.
aDepartment of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany bUniversity Department of Anesthesiology and Intensive Care Medicine, ...
Ordinal logistic regression was conducted to identify the baseline predictors of long-term clinical outcomes among individuals with ARMS. Variable selection was performed independently across 20 ...
Multinomial logistic regression modeling [MLRM; R package nnet, function multinom ( 85 )] was used to predict ophidiomycosis case classification based on species, site, DOY, recapture status, and ...
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