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The symptoms and side effects of Covid-19 are scattered across a diagnostic spectrum. Some patients are asymptomatic or experience a mild immune response, while others report significant long-term illnesses, lasting complications, or suffer fatal outcomes. The COVID-19 vaccine adverse effects predictor solution, helps determine adverse effects someone may have to a Covid-19 vaccine given their medical history, medications, and demographic information.


The model provides population level (e.g., demographics, social indicators, income) view of adverse events and individual view (e.g., pertaining to a single patient) view of adverse events. It also predicts possible symptoms a patient may have as well as the level of severity of those symptoms.

Business Value

Ward/facility optimization, as providers can prepare appropriate treatments beforehand if there’s a vaccine that has a higher propensity for causing an adverse effect for a type of demographic that they provide care for. It also ensures quality of patient care.

H2O's AI and Data Approaches

This solution is powered by the H2O AI Cloud Driverless AI AutoML, and Wave. The data science approaches include genetic algorithm, advanced feature engineering, NLP, GLM, GBM, XGBoost, stacked ensembles.



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