The real-world evidence in electronic health records has the opportunity to catalyze retrospective research, but much of the data is found not in structured fields, but trapped within clinical notes....
Privacy concerns often arise as the key bottleneck for the sharing of data between consumers and data holders, particularly for sensitive data such as Electronic Health Records (EHR). This impedes...
The use of deep neural models for diagnosis prediction from clinical text has shown promising results. However, in clinical practice, such models must not only be accurate but provide doctors...
The field of natural language processing (NLP) is rapidly advancing, and accurate clinical and biomedical NLP models are becoming increasingly important. In this keynote speech, Veysel will present a detailed...
The assessment of patient similarity is a fundamental component of many secondary uses of medical data. In order to calculate distance, heterogeneous EMRs must be converted into comparable formats. We...
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