Deadly drug combos uncovered with machine learning

 

The Chicago’s Tribune’s look at deadly Rx drug combinations relied on machine learning.

Reporters teamed up with data scientists who had access to prescription drug data and identified commonly-prescribed meds that could sicken or kill patients. Note: The journalists could not perform the analysis themselves because only the researchers had access to the detailed prescription data.

Machine learning helps detect abusive doctors

For its series about sexually-abusive doctors across the United States, the Atlanta Journal Constitution needed to build its own database. No one centralized source collected that information, so reporters scraped state government websites to harvest medical board disciplinary information.

Then reporters applied machine learning to analyze more than 100,000 cases and score each on the probability that sexual abuse had occurred.