White Paper
CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Aug 16, 2022

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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