Explore GitLab

Discover projects, groups and snippets. Share your projects with others


  • Administrator / visionneur

    Créer une interface où l'on entrerait des informations et des données Ces données seront envoyer dans une base de données Puis traiter et analysé via nos calculs, pour trouver les probabilités de deviner quel type de maladie, peut affecté une personne selon s'il fume, son lieu d'habitation, etc... Afficher ces résultats pour représenter les prédictions sous forme de diagrammes, tableaux, courbes, ... Créer une interface qui donnera la possibilité au public de commenté les prédictions

    0
    updated
  • Administrator / idea

    IDEA is a collaborative platform that allow every enthusiast user to explore, visualize and comment data and prediction results with their community. Thanks to a machine learning algorithm, IDEA learn from skilled users and propose to untrained users the best data visualization for their data request. IDEA is a new way, for scientific community, to search together.

    0
    updated
  • Administrator / cancerlife

    Our goal is to build a predictive model to anticipate lung cancer evolution and severe side effects occurrence in order to react with more effective solutions for patients. We will study lung cancer immunologic response and treatments immunologic response to provide the most accurate anticipation model to foresee cancer evolution and anticipate immune severe side effects occurrence based on patients' data.

    0
    updated
  • 0
    updated
  • Administrator / around

    The aim of the AROUND project is to describe the multiple dimensions of the environment of cancer and investigate their impact on cancer (incidence, progression, death, …). Dimensions taken into account will focus on medical environment such as existence of prescribing guidelines, new molecules, new diagnostic tools and digital applications, … (non exhaustive list). The final aim of the AROUND project is to provide insight on the most efficient measures to reduce cancer impact on people.

    0
    updated
  • Administrator / test

    short description

    0
    updated
  • 0
    updated
  • Administrator / mlcancer

    Make a study on time-series analysis and forecast models on cancer incidence

    0
    updated
  • Administrator / locapred

    Here we will try to bring out some local rules helping to understand stand-alone cancers under certain conditions. Prior localization is one of the most convenient strategies to tackle the unavoidable trade off between accuracy and interpretability that we face when we run learning algorithms.

    0
    updated
  • Administrator / baseline2

    This project is a sequel to the prize-winning Baseline project of the 1st Challenge4Cancer (http://wiki.epidemium.cc/wiki/Baseline).

    The 1st Baseline project was dedicated to creating an aggregated dataset to evaluate potential risk factors against cancer prevalence and mortality data.

    This year challenge aims at : 1) enriching the dataset into a larger, integrated, robust database for the community to explore; 2) creating and evaluating models on specific epidemiological questions.

    0
    updated
  • Administrator / opencancer

    Prediction model of colon and ovary cancer, and others, why not...

    0
    updated
  • Administrator / task_bugs

    This task will remain open for all to submit bug reports on the platform. If you see something, say something.

    0
    updated
  • Administrator / epidemium

    Epidemium Challenge is a place for people to come together and tackle cancer !

    0
    updated
  • Administrator / platform

    This project will assemble all the platform development related activities. JoGL was in charge with developing the platform that you are using and the code is open source. This is a community owned, community driven platform.

    0
    updated