Status: Completed
Project Duration: 23 Jul 2023 - 10 Sep 2023
Open Source resources available from this project
Project background.
In this project, collaborators will develop a multimodal model using chest X-rays and electronic health records (EHR)/clinical data to detect pneumonia and tuberculosis. The goal is to leverage both visual information from X-rays and textual information from EHR/clinical data to improve the accuracy of disease detection. Today Multi-Modal data is commonly collected and used in diagnosing diseases; this technique is relatively new and will give participants a gist of this methodology.
Project plan.
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Week 1
Project Setup and Data Exploration
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Week 2
NLP and Computer Vision Basic to advance
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Week 3
CNN for Computer vision
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Week 4
Natural Language Processing (NLP) for EHR/Clinical Data
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Week 5
Multimodal basics
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Week 7
More Multimodal learning and Project wrap up
Learning outcomes.
NLP, Computer Vision, Multimodal Learning, Leadership & public speaking skills, teamwork and collaboration
