Medical Dialogues

Interpretive models could help predict risk of preoperative DVT in elderly patients with hip fracture: Study

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
Armed robbery in Revesby

XGBoost Framework Boosts Asphalt Skid Resistance Analysis

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
EurekAlert!

Intelligent XGBoost framework enhances asphalt pavement skid resistance assessment

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
GitHub

Explain XGBoost models with the Hoeffding functional decomposition.

treehfd is a Python module to compute the Hoeffding functional decomposition of XGBoost models (Chen and Guestrin, 2016) with dependent input variables, using the TreeHFD algorithm. This decomposition ...
BMJ

Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study

Objectives Alzheimer’s disease (AD) poses a significant challenge for individuals aged 65 and older, being the most prevalent form of dementia. Although existing AD risk prediction tools demonstrate ...
Frontiers

Machine learning provides reconnaissance-type estimates of carbon dioxide storage resources in oil and gas reservoirs

1 U.S. Geological Survey, Geology, Energy and Minerals Science Center, Reston, VA, United States 2 Department of Systems Engineering, Colorado State University, Fort Collins, CO, United States In this ...
IEEE

A Novel Explainable Intelligent Computational Framework for Identifying Potential Oncogenes

Abstract: Objective: This study developed a novel explainable artificial intelligent model, deep mining graph convolutional neural network (DMGNN) model, to identify potential oncogenes. Method: RNA ...
Frontiers

Hub Genes Identification, Small Molecule Compounds Prediction for Atrial Fibrillation and Diagnostic Model Construction Based on XGBoost Algorithm

Background: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and engenders significant global health care burden. The underlying mechanisms of AF is remained to be revealed and ...