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We are all gripped by this unprecedented Covid-19 pandemic. While supporting our customers in battlefields by any means, we also observed various fighting fronts against Covid-19 by leveraging today's AI powers.
Recently I noticed a Kaggle dataset for the prediction of whether a Covid-19 patient will be admitted to ICU. It is a spreadsheet of 1925 encounter records of 231 columns of vital signs and observations, with the last column of "ICU" being 1 for Yes or 0 for No. The task is to predict whether a patient will be admitted to ICU based on known data.
We touched on some quick demos of deep learning and machine learning over the past few months, including a simple Covid-19 X-Ray image classifier and a Covid-19 lab result classifier for possible ICU admissions. We also touched on an IntegratedML demo implementation of the ICU classifier. While the "data science" hiking still goes on, it might also be a good time to try some AI service deployment from the "data engineering" perspective - could we wrap up everything we touched on so far into a set of service APIs? What are the common tools, components, and infrastructure that we could leverage to achieve such a service stack in its simplest possible approach?