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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