The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic ...

🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient ...

Abstract: The purpose of this work is to investigate the effectiveness of DensNet and Logistic Regression in terms of accurately predicting the classification of footwear trends.In this study, there ...

Now is the time to complete your fit test for applying pesticides with a respirator. While pesticide applicators are familiar with respirators, specifically the “why” and “when” they should be worn, ...

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.

ABSTRACT: Introduction: Breast cancer is the most common malignancy in women worldwide and constitutes a public health problem in the DRC due to its high morbidity and mortality. Its frequency is ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Google recently released its experimental ‘Gemini-exp-1114’ model in AI Studio for developers to test the model. Many speculate that it’s the next-gen Gemini 2.0 model which Google will release in the ...