Science and medicine

CBMI@UTHSC

We develop Biomedical and Clinical informatics applications

Technologies
flaskJavaScriptPythonReacttensorflow
Topics
deep learningmachine learningsepsis detectionsepsis predictionweb
Total projects
3
Years participating
1
Most recent
2019

Participation history

1 program years
Projects by participation year 2019: 3 projects 3 2019

Historical projects

2019 3 projects

Official GSoC page ↗

Fever prediction model using high-frequency real-time sensor data

Contributor: Aditya Singh-2

Machine Learning has the ability to gain information, process it and give a well-defined output to the end-user. Machine Learning algorithms can...

Deep learning model for sepsis prediction using high-frequency data

Contributor: Ronet Swaminathan

Sepsis is a potentially life-threatening condition caused by the body's response to an infection. The body normally releases chemicals into the...

Integrating genomics and high-frequency physiologic data for sepsis detection

Contributor: Shayantan Banerjee

In this project we intend to integrate publicly available -omic and clinical datasets using natural language processing techniques. Combining...