Objective This study aimed to assess the prevalence of eye care service utilisation and associated factors among healthcare professionals in Gondar city, northwest Ethiopia. Design An ...

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...

Abstract: Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in settings ...

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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: Pain management in pediatric patients is a critical aspect of healthcare delivery, yet it remains a significant challenge globally, particularly in low- and middle-income ...

ABSTRACT: Introduction: Pain management in pediatric patients is a critical aspect of healthcare delivery, yet it remains a significant challenge globally, particularly in low- and middle-income ...

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 ...

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...