Author: Elizabeth Pratt
Publisher: Healthline
Publication Year: 2020
Summary: The following article discusses how data scientists need to be cautious about applying results across all demographics if all demographics were not well represented in the data used to train the model. Our pharmaceutical industry relies on measurements and samples taken during drug trials to set dosing schedules and define side effects. Women are underrepresented in these trials and experience greater negative effects due to medications than men.