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.