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CBMI@UTHSC
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We develop Biomedical and Clinical informatics applications
Category
Science and medicine
Years
2019
Technologies
python
javascript
flask
tensorflow
reactjs
Topics
machine learning
deep learning
web applications
sepsis prediction
sepsis detection
Past Projects
2019
Fever prediction model using high-frequency real-time sensor data
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...
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Code Submission
Deep learning model for sepsis prediction using high-frequency data
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...
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Code Submission
Integrating genomics and high-frequency physiologic data for sepsis detection
Shayantan Banerjee
In this project we intend to integrate publicly available -omic and clinical datasets using natural language processing techniques. Combining...
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Code Submission