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MyAIGuide project and MonsterMizer project

This is the open-source part of the MonsterMizer.
You can find open-sourced data here: MonsterMizer Open Data.
You can find a first analysis of some of the data and the corresponding open-sourced code here: first experiment.

Abstract

For patients suffering from patellofemoral pain syndrome, finding the right balance between rest and exercise is a difficult problem, mostly ignored by the medical community. But understanding how to find this balance could lead to major improvements for patients. This project initial aim is to collect both exercise and symptom data from patients, try to find correlations in the data, potentially look into more possible pain triggers (stress, poor sleep, etc...), and eventually create personal recommendations systems based on AI to help patients better manage their exercise levels and lives

Notebooks

The notebooks are prepared by Liubov together with Olivier Mirat and CorrelAid-Paris https://github.com/correlaid-paris/projects (Liubov Tupikina). Data can be collected on the webstie http://www.monstermizer.com/

Contribution

For any other information, feel free to email:
olivier.mirat.om@gmail.com liubov.tupikina@cri-paris.org

Currently this project is done together with CorrelAid team of volunteers. See more at MyAIguide project of CorrelAid.

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  • Jupyter Notebook 96.4%
  • Python 3.6%