Research paper: Death Vs Data Science: Predicting End of Life
Death is an inevitable part of life and while it cannot be delayed indefinitely it is possible to predict with some certainty when the health of a person is going to deteriorate. We used machine learning techniques to predict the risk of mortality for patients from two large hospital systems in the Pacific Northwest. In addition to making the prediction, we also provide explanations for end of life predictions. The insights that are derived from the predictions can then be used to improve the quality of patient care towards the end of life.
In this paper you will:
- Learn what factors determine the stratification of patient's with deteriorating health
- Explore the ML techniques to predict the risk of mortality
- Learn how health systems are using ML to predict end of life
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