Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Background: Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear ...
IEEE

Efficient Abstraction of Healthcare Data for Real-Time Decision Making Using Logistic Regression and Linear Regression

Abstract: Data analytics can help drive decision-making and improve patient outcomes in healthcare. But of course, healthcare data is complex, and the process to access & analyze it can be slow. Here, ...
GitHub

hifaz1012/AIStudio-LLM-Evaluation-Samples

Azure AI Studio offers 3 types of Large Language Model (LLM) Evaluations. Manual Evaluation: Manual review of LLM Responses by human reviewers and domain experts ...
Hosted on MSN

Python physics: Create a linear regression function using VPython

Python Physics: Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results ...
IEEE

Decision-Making Model for Autonomous Vehicles at Unsignalized Intersections Using Graph Neural Network-Based Deep Reinforcement Learning

Abstract: Dynamic traffic flows at unsignalized intersections generate complex interaction cascades among different traffic participants, where indirect behavioral influences propa gate through ...