Summary
In this chapter, we dove into the details of the healthcare insurance industry and its business model. We looked at claim processing in detail and went over different stages of how a claim gets processed and disbursed. Additionally, we looked at the various applications of ML in the claims processing pipeline and discussed approaches and techniques to operationalize large-scale claims processing in healthcare. We got an introduction to SageMaker Studio and, more specifically, SageMaker Data Wrangler and the SageMaker Studio notebooks. Lastly, we used our learnings to build an example model to predict the average healthcare claims costs for Medicare patients.
In Chapter 6, Implementing Machine Learning for Medical Devices and Radiology Images, we will dive into how medical images are generated and stored and also some common applications of ML techniques in medical images to help radiologists become more efficient. We will also get introduced to the medical device industry...
