IEEE

Variable Selection in High-Dimensional Logistic Regression Models Using a Whitening Approach

Abstract: In bioinformatics, the rapid development of sequencing technology has enabled us to collect an increasing amount of omics data. Classification based on omics data is one of the central ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

Machine Learning–Based Hypertension Risk Stratification Using Logistic Regression and XGBoost

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...
Việt Báo

6-Month Roadmap for 'Amateurs' to Become AI Engineers: Focus on GitHub, Not Certifications

The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a ...