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CBMI@UTHSC

We develop Biomedical and Clinical informatics applications

GSoC Participation History

Technologies

Topics

Past Projects

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...

Topics:ai

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...

🐍 python
Topics:aidatabase

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...

Topics:ai

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CBMI@UTHSC | GSoC Org Profile & Stats - Learn about CBMI@UTHSC's involvement in Google Summer of Code (GSoC), their technologies, detailed reports.

|Inactive|

Contributor Readiness

Participation

Projects

Top Programming Languages

python dominates with primary adoption

Project Difficulty Distribution

Beginner
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Intermediate
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No difficulty data available

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