Frontiers

Quantifying post-treatment vascular remodeling in brain aneurysms using WEKA-based machine learning: a pilot study

Introduction: To evaluate the feasibility of a WEKA-based machine learning pipeline for detecting post-treatment hemodynamic remodeling by comparing pre- and postoperative cerebral angiographic images ...
Frontiers

Correlation between systemic inflammatory response index and post-stroke epilepsy based on multiple logistic regression analysis

1 College of Life and Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Department of Neurology, Dazhou Central Hospital, Dazhou, China Background: Post-stroke epilepsy ...
GitHub

[Regression] Vulkan v1.52.0 does not use GPU/VRAM on gfx1151 (Ryzen AI MAX+ 395), x3 worse performance

Vulkan v1.50.2 uses VRAM to load models as expected. When loading gpt-oss 120b, I can clearly see that 60G of VRAM gets allocated, plus I can see that the GPU load is ~50% when the text is being ...
IEEE

Predicting Medical Claim Denial Using Logistic Regression and Decision Tree Algorithm

Abstract: This study utilizes decision tree and logistic regression models to explore the factors contributing to medical claim denials and identify areas for improvement. We adapt undersampling ...
GitHub

Performance regression with PrimitiveCollections using a complex ValueConverter

We have found that query performance degrades dramatically when using PrimitiveCollections with a complex ValueConverter. What takes 10 seconds under EF8 now takes over a minute in EF10. This is a ...
IEEE

Automated Fake News Detection Using Logistic Regression over Decision Tree with Improved Accuracy

Abstract: This paper's primary goal is to use machine learning techniques, specifically Logistic Regression and Decision Trees, to identify bogus news on social media. An innovative logistic model is ...