Healthcare data can be challenging to work with and AWS customers have been looking for solutions to solve certain business challenges with the help of data and machine learning (ML) techniques. Some of the data is structured, such as birthday, gender, and marital status, but most of the data is unstructured, such as diagnosis codes or physician’s notes. This data is designed for human beings to understand, but not for computers to comprehend. The key challenges of using healthcare data are as follows:

How to effectively use both structured and unstructured data to get a complete view of the data
How to intuitively interpret the prediction results

With the rise of AI/ML technologies, solving these challenges became possible.
One relevant use case is patient outcome prediction, which includes acute or chronic condition-triggered hospital visits or readmission predictions, disease progression predictions within a certain observation window, and

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