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Interpretable models for feature importance to identify the symptoms related to Covid and No-Covid
A project built with the obejctive to redesign the current tracking system in the primary care sector.
Herramienta que sirve para comprobar si has tenido contacto con un camarada de pupitre que ha dado positivo en COVID-19 mediante escaneo por BLE.
Interpretable summarisation and comparison of clinical cases
Telegram bot that tests for cough/no_cough, and for covid/no_covid. Implemented from the spectrums of audios, using transfer learning from VGG16 CNN that has been frozen and fine tuned.
Markdown on comento el codi que he utilitzat per dur a terme la tasca.
Used DL with tSNE then used LDA to obtain most important topics
Find whether a symptom or a set of symptoms among a paediatric patient can be conclusive to diagnose or refute SARS-CoV-2
In this project, we analyze which factors indicate that a child has a high probability of being a COVID-19 positive case. This factors can be environmental or symptomatic.
The aim of this project is to create an easy to access technology capable of acting as a filter prior to the sanitary system for covid-19 detection in pediatric age patients.
Multiple machine learning models with interface
Clinical cases search by similarity specialized in Covid-19
Which are the factors do we need to consider before deciding whether to classify a child as a suspected positive case?We've followed a symptoms approach by creating a nnet model predict covid cases.
AI developed using ML to predict posibles cases of Covid19 and decide if specific test is required.
Help tracking COVID on campus by scanning the QR code before sitting down.
We created a ML to predict if patient has covid and the important factors that characterises covid
Easy tracking with QR codes to make COVID19 life in the Campus easier!
We developed two algorithms that can be used to predict COVID in patients of pediatric age. We developed two approaches, one using a Random Forest Regression Model and the other with Bayesian Networks
A decentralised app to track the symptoms of covid-19 contacts using the blockchain technology.
A combination of two AI to check if a cough is a coronavirus cough.
New digital tools can support controlling the spread of COVID-19. Using an AI-powered Android app, we aim to recognise whether user's cough can be used to infer if the user has the virus or not.
AI-powered tool to diagnose pediatric COVID-19 suspected patients according to their symptoms and environment both in school and at home.
Covid detection by sending audio in Telegram.
Projecte de seguiment de la Covid19 en un campus universitari.
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