@RAPIDS_Science

Reproducible Analysis Pipeline for Data Streams Smartphone and wearable digital biomarkers By MoSHI @PittTweet

rapids.science/latest/
Joined March 2021
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RAPIDS v1.9.0 is out with bug fixes, optimized memory usage and new steps volatility features!
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RAPIDS retweeted
NuRelm@NuRelm11 Feb 2022
Thank YOU @RAPIDS_Science for a great tool that turns #PassiveSensorData into a form that helps people make sense of their moods and their world!
RAPIDS@RAPIDS_Science10 Feb 2022
RAPIDS v1.8.0 is out with bug fixes and a new community contribution by @NuRelm adding support to process smartphone data collected with @awareframework micro!
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RAPIDS v1.8.0 is out with bug fixes and a new community contribution by @NuRelm adding support to process smartphone data collected with @awareframework micro!
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New paper led by @julio_ui describes @RAPIDS_Science, which makes the data processing required to translate raw continuous sensor data streams into interpretable behavioral features more efficient, reproducible, & transparent: frontiersin.org/article/10.3…
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RAPIDS 1.6.0 is out: - Phone calls and location features can now be computed based on episodes - Various bug fixes
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RAPIDS 1.5.0 is out: - Updated Barnett location features with a faster Python implementation - Other bug fixes and tests Many thanks to @shirley_ah_ and Ian Barnett from @Penn for this new community contribution!
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RAPIDS 1.4.0 is out: - New features for application usage episodes - We updated our visualizations - Added tests and minor bug fixes for Fitbit, calls, WiFi, Bluetooth, conversation, and Activity Recognition data. - Updated VSCode setup instructions for our Docker image
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RAPIDS 1.3.0 is out: - Refactor locations DORYAB provider (up to 30x faster) - New phone keyboard features - New strategy to infer home location that can handle multiple homes for the same participant - Exclude sleep episodes from steps intraday features And other bug fixes!
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RAPIDS 1.2.0 is out: - Sleep summary and intraday features are more consistent. - Add wake and bedtime features for sleep summary data. - Fix bugs with sleep PRICE features. - Update home page with RAPIDS users and contributors - Add contributing guide
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RAPIDS 1.1.0 is out with new features for @fitbit 's calories intraday data. These complement those available for steps, heart rate, and sleep data.
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Features (digital biomarkers) are based on activity level episodes, moderate-to-vigorous physical activity (MVPA) episodes, and low and high MET episodes. rapids.science/1.1/features/…
RAPIDS 1.0.1 is out with fixes for multi-time zone studies and other minor bugs
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1/ We are releasing RAPIDS v1.0, a significant milestone with multiple useful features and community contributions that broaden, simplify and speed up mobile sensor data processing and analysis. 🧵rapids.science
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6/ RAPIDS can now analyze data collected over multiple time zones for the same or different participants. Also, we have new Fitbit sleep intraday features contributed by CMU's Stephen Price.
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7/7 Other improvements include adopting a Code of Conduct, this Twitter account, user comments on the docs, a simplified minimal example, and stability and speed fixes.
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