CBMI@UTHSC
Our group conduct research and develop technologies to help personal health and population health.
Popular repositories Loading
-
-
deepSepsis
deepSepsis PublicDeep learning model for sepsis prediction using high-frequency data
-
feverPrediction
feverPrediction PublicFever prediction model using high-frequency real-time sensor data
-
pySickleCell
pySickleCell PublicPython-based standalone application for sickle cell disease prediction
Repositories
Showing 10 of 11 repositories
- sepsisPrediction Public
cbmi-uthsc/sepsisPrediction’s past year of commit activity - clinicalSparkEngine Public
Apache spark streaming analytic engine for predicting patient deterioration using physiological data
cbmi-uthsc/clinicalSparkEngine’s past year of commit activity