CBMI@UTHSC

We develop Biomedical and Clinical informatics applications

Technologies

python
javascript
flask
tensorflow
reactjs

Topics

machine learning
deep learning
web applications
sepsis prediction
sepsis detection
https://cbmi.lab.uthsc.edu/people-2/people/
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Projects

Contributor

Aditya Singh-2

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

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

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Contributor

Ronet Swaminathan

Deep learning model for sepsis prediction using high-frequency data

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

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Contributor

Shayantan Banerjee

Integrating genomics and high-frequency physiologic data for sepsis detection

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

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