A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Abstract: Virtual Metrology (VM) has become an important tool in semiconductor manufacturing for predicting wafer quality. The Random Forest (RF) model for VM is a vital component of machine learning ...

Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Abstract: Developers typically build Machine Learning (ML) models for classification tasks in medical diagnosis. These models can make inferences from unseen data collected from sensors, aiding ...

Background: Some investigators have explored radiomics-based machine learning (ML) models for distinguishing pancreatic ductal adenocarcinoma (PDAC) from mass-forming pancreatitis (MFP). However, ...

1 Vale S.A., Parauapebas, Brazil. 2 Department of Civil and Environmental Engineering, Universidade de Brasília, Brasília, Brazil. 3 Vale Institute of Technology, Belo Horizonte, Brazil. The mechanics ...