Decode deaths with BERT to improve medical device safety and design

Michelle Wu is the founder and CEO of Nyquist Data. [Photo courtesy of Nyquist Data]

By Qiang Kou and Michelle Wu, Nyquist Data

A recent study shows that the number of death events in the FDA’s MAUDE (Manufacturer and User Facility Device Experience) database has been vastly underestimated because many are not reported as deaths.

Lalani et al. manually reviewed 290,141 MAUDE reports and found that around 17% of the death events had been misclassified. That means the patient died, but the event was labeled as having “no consequences or impact to patient.”

The manual review requires expertise in different medical specialties and is too time-consuming to process millions of added reports. This problem can be viewed as a binary classification problem. And we can fine-tune the BERT model to solve it.

What is BERT?

BERT stands for Bidirectional Encoder Representations from Transformers. Rec…

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