BMJ Global Health

Ambient temperature variations and antimicrobial resistance: a multicountry analysis of non-linear relationships and temperature thresholds

Background Antimicrobial resistance (AMR) is an escalating global health crisis being worsened by climate change. Studies of ...
BMJ

Systematic estimates of global causes of neonatal and under 5 mortality in 2000-24: secondary data analysis using bayesian multinomial logistic regression

Data sources PubMed, Embase, Web of Science, SCOPUS, Cochrane, Global Health Index Medicus, PAHO, Global Health OVID, Africa-Wide Information, IndMed, WHO Mortality Database, Demographic and Health ...
IEEE

Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification

Abstract: Understanding, modeling, and predicting student performance in higher education poses significant challenges concerning the design of accurate and robust diagnostic models. While numerous ...
Investopedia

Understand Variance Inflation Factor (VIF) in Regression Analysis

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Robert Kelly is managing director of XTS ...
Visual Studio Magazine

Quadratic Regression with SGD Training Using C#

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...
Frontiers

Using deep neural networks and LASSO regression to predict miRNA expression changes based on mRNA data

Since the rise of molecular high-throughput technologies, many diseases are now studied on multiple omics layers in parallel. Understanding the interplay between microRNAs (miRNA) and their target ...
PNAS

Lipid-associated macrophages’ promotion of fibrosis resolution during MASH regression requires TREM2

Since metabolic dysfunction-associated steatohepatitis (MASH) is the most common liver disease in the United States, the mechanisms underlying its regression are key to developing therapies. We ...
IEEE

Nonparametric Regression for MU-MIMO Channel Prediction: From KNN to Local Linear Regression

Abstract: Channel aging poses a huge challenge for the MU-MIMO (Multi-user Multiple-Input-Multiple Output) communications. To alleviate the problem, channel prediction is widely regarded as a ...
Visual Studio Magazine

Kernel Ridge Regression Using C#

KRR is especially useful when there is limited training data, says Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step tutorial. The goal of a machine learning regression problem ...