Recent prospective observational study conducted on 224 adult patients undergoing elective videolaryngoscopic intubations ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

Alibaba Cloud has developed a new cluster management system called Eigen+ that achieved a 36% improvement in memory ...

FinRegLab today released new empirical research demonstrating that adopting machine learning techniques and incorporating ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania. Design We analysed cross-sectional survey data from the 2022 Tanzania ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Logistic regression predictive models are also less prone to overfitting, which is when the number of observations exceeds the number of features. However, logistic regression also has some ...