R package using the algorithms of ClinRisk to calculate the risk of developing type 2 diabetes.
AI Nexus 🌟 is a streamlined suite of AI-powered apps built with Streamlit. It features 👗 StyleScan for fashion classification, 🩺 GlycoTrack for diabetes prediction, 🔢 DigitSense for digit recognition, 🌸 IrisWise for iris species identification, 🎯 ObjexVision for object recognition, and 🎓 GradeCast for GPA prediction with detailed insights.
a data-driven Machine Learning model designed to predict the risk of developing diabetes in its early stages.
A web app used for diabetes risk prediction using Artificial Neural Networks.
This project develops a predictive model to identify diabetes risk in hospital patients, enabling early intervention and improving patient care and hospital efficiency.
This repository contains a project developed for module 3 of the FAIKR master's course at UniBo. It utilizes Bayesian networks to perform probabilistic diabetes risk assessment.
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