Inspiration
Diabetes mellitus detection using data from ICU
What it does
Detects if the patient has diabetes or not, given 24 hrs of data from ICU
How we built it
Using Microsoft Azure workspaces and Machine Learning tools
Challenges we ran into
Creating workspaces, creating datastore definitions, compute resources, ML models using that
Accomplishments that we're proud of
Working models available and deployed using the Training data with 0.79 accuracy. Azure endpoint available for deployment
What we learned
Azure ML platform usage
What's next for Diabetes detection using Azure
be able to predict from a large dataset, not just a from a small sample and use in Python code.
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