In recent years, the availability of massive electronic health records (EHR) data enabled the training of deep learning models for building accurate disease detection models. IQVIA researchers proposed a Complementary pattern Augmentation (CONAN) framework for rare disease detection in a scientific paper published by The Proceedings of the annual AAAI Conference on Artificial Intelligence in 2020. This insights brief provides a summary of the findings using this detection method.
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