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Explainable AI for Diabetes Diagnosis by seysanthv is a document available to read on EtoBox.

What is Explainable AI for Diabetes Diagnosis about?

This project investigates the use of Explainable AI (XAI) in a robotic healthcare assistant for analyzing diabetes patient data. The system employs machine learning algorithms to provide early diagnosis and personalized recommendations while ensuring transparency through explainability techniques like SHAP and LIME. The study demonstrates that the robotic platform enhances diagnostic accuracy and fosters trust among patients and healthcare professionals by clearly communicating the reasoning behind AI predi

Author

seysanthv

Language

EN