Peer Review - sss342

[seansodha]

This group's idea is to predict the cost of medical bills based on the patient's illness, length of stay, and other factors. They are going to use the SPARCS dataset along with algorithms that we have used in this class to come up with a solid approach to the problem. I think this would be really helpful data to use since the cost of medical bills is increasing by a lot in today's world. I think another thing they could potentially add to their solution set is to figure out which hospitals have the cheapest cost as well as the lowest mortality rate.

What I like:

1. How this is addressing a very big topic in todays world
2. How it could incorporate many of the things we have learned in this class
3. How it can tell us where costs can come from from a large dataset

Areas of Improvement:

1. Try to find another dataset that can help you come to a more conclusive solution
2. Try to see what other people have done that are similar in their models and perhaps you can work from there
3. I would not make it about helping patients seeing where their costs come from. I would focus it more on predicting the cost of someones bill based on what condition they have.