The history, ECG, age, risk factors, and troponin (HEART) score was developed as a rapid risk stratification tool. It has ...

Traditional operative risk calculators, such as the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II), ...

New evidence has revealed that both triglyceride-glucose index (TyG) and (TyG/HDL-c) were linked to increased risk of ...

Key predictive features included mood scores, game accuracy, and environmental variables like temperature and humidity. The system’s ability to identify risk factors dynamically allowed it to deliver ...

Defects in software can cause various problems that are detrimental to many parties, from owners and developers to users. Predicting defects in software is one of the crucial factors that must be done ...

Artificial intelligence is changing how doctors detect child abuse in hospital emergency rooms. New research shows that AI tools can better identify when a child has been physically harmed.

In this paper we consider high-dimensional multiclass classification by sparse multinomial logistic regression. We propose first a feature selection procedure based on penalized maximum likelihood ...

BIOMETRY, MODELING AND STATISTICS Critical points in logistic growth curves and treatment comparisons José Raimundo de Souza Passos; Sheila Zambello de Pinho *; Lídia Raquel de Carvalho; Martha Maria ...

About Machine Learning model to predict diabetes using logistic regression,,I performed data cleaning, exploratory analysis, and applied logistic regression to predict diabetes from medical records. I ...

exploratory-data-analysis logistic-regression pruning data-preprocessing decision-tree multicollinearity auc-roc-curve supervised-learning---classification Updated 2 weeks ago HTML ...