Source code for the deep learning models employed in OSAS study

Câmara de descontaminação de ar

Heartbeat is a research project focused on classifying heartbeats using ECG (electrocardiogram) data. Within the scope of this project, both conventional and state-of-the-art models from the literature, as well as experimental deep learning architectures, will be investigated and compared through experimental analyses.

GoEmergency is a healthcare service that was built up to help people check their symptoms and correlate them with diseases

A simple HL7 FHIR implementation.

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.

[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.

Appointmed is a web application in the healthcare field that allows patients to find the specialist that best suits their needs and at the same time provides tools for professionals to manage the flow of patients.

Beat Bracelet is an indoor, wifi connected smart bracelet useful to keep track of the health state of a person.

Data science in genomics and healthcare

The integration microservice responsible to manage patients inside the Operating Block.

Team Members

AirQuality-Monitor-ESP32 is a smart IoT device that monitors PM2.5, temperature, and humidity using SDS011 and BME680 sensors. It logs data to an SD card, alerts users via WhatsApp, and ensures asthma patients are protected with real-time environmental monitoring.

Obstetric Fistula in developing countries

The proposed solution will be an online mobile based application. This app will contain information regarding pre and post maternal session. The app will help a pregnant lady to know about pregnancy milestone and when to worry and when to not. According to this app, user needs to register by entering name, age, mobile number and preferred langua…