Nature

A Method for Generating Synthetic Electronic Medical Record Text

11 days ago   |   By IEEE/ACM

Machine learning and Natural Language Processing have achieved remarkable success in many fields and have brought new opportunities and high expectation in the analyses of medical data, of which the most common type is the massive free-text electronic medical records. However, the free EMR texts are lacking consistent standards, rich of private information, and limited in availability. Also, it is often hard to have a balanced number of samples for the types of diseases under study. These problems hinder the development of ML and NLP methods for EMR data analysis. To tackle these problems...
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