Researchers found that higher relative fat mass (RFM), a measure of visceral body fat, is significantly associated with ...

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 ...

Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

An important problem in the field of bioinformatics is to identify interactive effects among profiled variables for outcome prediction. In this paper, a logistic regression model with pairwise ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Dirt Late Model Dream results from the $100,000 to win race at Eldora Speedway National Dirt Late Model Drivers are unloaded in Rossburg, Ohio. The half-mile of Eldora Speedway is set to host the ...

Algorithm 1.Data Collection & Preprocessing 2.Select relevant features that impact placement 3.Import the Logistic Regression model from sklearn. 4.Train the model using the training dataset. 5.Use ...

These insights could help scientists build models that are simpler, more efficient, and possibly more transparent. More information: Vittorio Erba et al, Bilinear Sequence Regression: A Model for ...