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The [C]openh[A]gen Center for Health Technology [R]esearch [P]latform (CARP) enables researchers to run mobile health (mHealth) studies where data is collected on participant's smartphones and wearable devices. Data is securely uploaded and managed in a hosting infrastructure managed by the Technical University of Denmark (DTU).
The Copenhagen Center for Health Technology (CACHET) Research Platform (CARP) enables researchers to run mobile health (mHealth) studies where data is collected on participant's smartphones and wearable devices. Data is securely uploaded and managed in a hosting infrastructure managed by the Technical University of Denmark.
CARP is a platform for running research studies in the health domain – also known as Digital Phenotyping. Such studies range from technical feasibility studies of novel technology to large-scale clinical studies. The platform is very versatile both in terms of support for different types of health domains, as well as in terms of technical support and configuration.
To support researchers using the CARP Webservices API with the Python programming language, we implemented a CARP PYTHON CLIENT API to consume all existing endpoints such as authenticating, creating studies, deployments, protocols, consents, data points, documents|collections, summaries, and other endpoints.
The repository CARP Client API - Flask provides a sample project that allows consuming CARP Webservices API endpoints using the Flask framework.
To use this client with any of the CARP environments listed below, contact us to create a researcher account to use the [CARP Web Services] endpoints.
CARP Environments | Path |
---|---|
test | https://cans.cachet.dk:443/test |
development | https://cans.cachet.dk:443/dev |
staging | https://cans.cachet.dk:443/stage |
production | https://cans.cachet.dk:443 |
Local Environment | Path |
---|---|
local | http://localhost:8091 |
FAQs
The [C]openh[A]gen Center for Health Technology [R]esearch [P]latform (CARP) enables researchers to run mobile health (mHealth) studies where data is collected on participant's smartphones and wearable devices. Data is securely uploaded and managed in a hosting infrastructure managed by the Technical University of Denmark (DTU).
We found that carp-python-api demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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