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## P3B1: RNN-LSTM: A Generative Model for Clinical Path Reports
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## P3B2: RNN-LSTM: A Generative Model for Clinical Path Reports
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**Overview**:Given a sample corpus of biomedical text such as clinical reports, build a deep learning network that can automatically generate synthetic text documents with valid clinical context.
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**Relationship to core problem**:Labeled data is quite challenging to come by, specifically for patient data, since manual annotations are time consuming; hence, a core capability we intend to build is a “gold-standard” annotated data that is generated by deep learning networks to tune our deep text comprehension applications.
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