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 ...
InfoQ

Microsoft Agent Framework RC Simplifies Agentic Development in .NET and Python

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...
IEEE

Predicting Mortality Risk in Heart Failure Patients: Insights from COX Regression and Machine Learning

Abstract: This study is based on baseline data and 2-year follow-up information from 145 heart failure patients in Guangxi, China, combined with a publicly available scientific dataset on Chinese ...
Scientific Research Publishing

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

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

Best Machine Learning Bootcamps in 2026 to Start Your AI Career

Overview:Machine learning bootcamps focus on deployment workflows and project-based learning outcomes.IIT and global programs provide flexible formats for appli ...