kidzik / wearables_vitalsigns

Custom Scripts for Wearables Vital Signs Data Cleaning and Analysis

Wearable sensors enable personalized predictions of clinical laboratory measurements

Vital signs, including heart rate and body temperature, are useful in detecting or monitoring medical conditions, but are typically measured in the clinic and require follow-up laboratory testing for more definitive diagnoses. Here we examined whether vital signs as measured by consumer wearable devices (i.e. continuously monitored heart rate, body temperature, electrodermal activity, and movement) can predict clinical laboratory test results using machine learning models including random forests and LASSO.

See more details in our Nature Medicine paper.

Scripts

All code for building and validating models as well as generation of figures is stored PaperCode.R.

Data

Scripts require clinical data to run. They need to be stored in SECURE_data directory.

File	Description
Basis2016_Cleaned_NotNorm0824_WeekPrior.csv	iPOP wearables/clinical combined data
vitals.csv	iPOP vitals
lab_results_20170717.csv	iPOP Labs
all_vitals.csv	SEHR vitals
all_labs.csv	SEHR labs
20170905_Cleaned_joined_30k_labs_vitals.csv	cleaned SEHR file