CBMI@UTHSC
Our group conduct research and develop technologies to help personal health and population health.
Memphis, TN
Pinned Repositories
ACF-Workshop
ACF Resource Access
deepECG
ECG image classification using deep learning
deepSepsis
Deep learning model for sepsis prediction using high-frequency data
feverPrediction
Fever prediction model using high-frequency real-time sensor data
iGPSD
Integrating genomics and physiologic data (high-frequency) for sepsis detection
pySickleCell
Python-based standalone application for sickle cell disease prediction
sepsisPrediction
sRNASP
small RNA Sequencing Pipeline
webSCAS
Web application for sepsis clinical assessment scores using batch ICU patient data
webSD
React-based web application for sepsis detection
CBMI@UTHSC's Repositories
cbmi-uthsc/sepsisPrediction
cbmi-uthsc/deepSepsis
Deep learning model for sepsis prediction using high-frequency data
cbmi-uthsc/feverPrediction
Fever prediction model using high-frequency real-time sensor data
cbmi-uthsc/deepECG
ECG image classification using deep learning
cbmi-uthsc/webSD
React-based web application for sepsis detection
cbmi-uthsc/pySickleCell
Python-based standalone application for sickle cell disease prediction
cbmi-uthsc/webSCAS
Web application for sepsis clinical assessment scores using batch ICU patient data
cbmi-uthsc/iGPSD
Integrating genomics and physiologic data (high-frequency) for sepsis detection
cbmi-uthsc/sRNASP
small RNA Sequencing Pipeline
cbmi-uthsc/ACF-Workshop
ACF Resource Access
cbmi-uthsc/clinicalSparkEngine
Apache spark streaming analytic engine for predicting patient deterioration using physiological data