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.
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.