Case Study: How to Translate a Healthcare Problem into a Predictive Modeling Problem

Case Study: How to Translate a Healthcare Problem into a Predictive Modeling Problem

In the video below, we examine this paper:

https://arxiv.org/abs/1711.06402
Improving Palliative Care with Deep Learning
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, Nigam H. Shah

Specifically, we look at the authors’ inclusion and exclusion criteria to understand how they affect the performance of their predictive model. For those who don’t want to watch the entire video, the take-away message is: don’t use information about the “future” in your inclusion/exclusion criteria for selecting your cases for your training data set. For details, please see the video below.

How do we correctly select cases for our training data?
Overview image from the video