Source code for the deep learning models employed in OSAS study
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Updated
Feb 9, 2023 - Jupyter Notebook
Source code for the deep learning models employed in OSAS study
GoEmergency is a healthcare service that was built up to help people check their symptoms and correlate them with diseases
ECG Heartbeat Classification using Machine Learning and Deep Learning algorithms. Includes signal preprocessing, feature extraction, model comparison, and performance evaluation for arrhythmia detection using Python.
Scalable healthcare management system for booking appointments, managing doctors, and handling patient schedules efficiently.
💊 Modern App for managing home medicine inventory with family sharing, expiry tracking, out-of-stock management, and shopping lists. Features mobile-first responsive design, 6-character family codes, and real-time synchronization. Built with Next.js, TypeScript & Firebase.
Team Members
Proof-of-concept medical triage AI agent. Fine-tunes Qwen3-1.7B with SFT + LoRA and DPO alignment on a bilingual (FR/EN) clinical dataset, served via vLLM with a FastAPI endpoint.
[ES] Este proyecto es un modelo predictivo para detectar la predisposición a la enfermedad renal crónica (ERC) en base a análisis clínicos de sangre y orina. [EN] This project is a predictive model to detect predisposition to chronic kidney disease (CKD) based on clinical blood and urine tests.
Multi-class classification of fetal health status using structured medical data and machine learning.
This Repository contains 11 different projects that revolve around the medical domain with each project upon which comprehensive analysis was conducted and achieving high accuracies.
Beat Bracelet is an indoor, wifi connected smart bracelet useful to keep track of the health state of a person.
Projet académique réalisé en 2024 dans le cadre de ma formation. L'objectif était de concevoir une plateforme web dynamique pour le secteur de la santé. Ce projet est présenté en l'état afin de témoigner de mon parcours et de mes bases en développement.
A clean and modular ASP.NET Core 9.0 Web API sample project, tailored for healthcare domains including hospitals, clinics, and patient management workflows.
Kura is a self-hosted personal health record. Your medical data, your server, your rules: no clouds, no third parties, just you and your health history.
Machine Learning project for predicting heart disease and estimating patient risk scores using clinical health data.
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