In this chapter, we introduced the idea of blending patient history data with data sourced from dialogs between a physician and a patient. We then went through the process that is required to create an IBM Watson Analytics project so that you can use Watson to gain a better understanding of the provided data, establish a project objective, use Watson Analytics to create a prediction based upon the data, and finally construct a Watson story to share the insights that you gained.
In the next chapter, you will learn about sentiment analysis, using Watson Analytics to automatically analyze and categorize text posted to social media in an attempt to determine an audience's feeling about a topic.
