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Improve people's quality of life using patient generated data
Showing 3 of 3 projects. Click any project card for scope, mentors, and proposal studio.
Mentors: Student: pushkar.patel
During my GSoC project I will work on the following: 1. Expansion of the RADAR-Feature Pipeline to make it more flexible, support a larger variety of data inputs and improve processing throughput. 2. Add visualization modules to help the user with data analysis and visualization in the pipeline itself.
Mentors: Student: Junjie Zhou
I am applying for the project 'Fitbit Web API Subscription and Nutrition API Extension' from RADAR-base. The main problem is updating the code concerning integrating Fitbit API through Kafka-connect and I am going to solve it through Java backend development skills. There are three deliverables at least: 1)complete implementation for Fitbit Subscription API, 2)support for Fitbit Nutrition API, 3)extend time-series data support for heart rate and sleep.
Mentors: Student: Kai You
The RADAR-base Active Mobile app is is an active remote monitoring app for collecting Patient Reported Outcomes (PRO) We need to collect data from Apple HealthKit and send it to RADAR-base server 1. Aquire the health data from users by implementing cordova Health/Healthkit. 2. Collect the data from the users. 3. Generate corresponding data reference to Radar-Schemas and send the data to Radar-base server.