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.
Team Members
💊 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.
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.
Depression prediction with interpretable machine learning and XAI techniques.
Multi-class classification of fetal health status using structured medical data and machine learning.
Genkō Healthcare Platform. Administrator Training Manual. Learn how to set up and start using the platform and take advantage of the full set of features.
Beat Bracelet is an indoor, wifi connected smart bracelet useful to keep track of the health state of a person.
A clean and modular ASP.NET Core 9.0 Web API sample project, tailored for healthcare domains including hospitals, clinics, and patient management workflows.
A wearable health-monitoring device designed to detect falls, track vital signs, and assist elderly or vulnerable individuals — built with ESP-IDF and fully open-source.
The integration microservice responsible to manage patients inside the Operating Block.
Data science in genomics and healthcare
[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.
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