In the past decade, with the development of big data technology, an increasing amount of patient information has been stored as electronic health records (EHRs).
Automatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare informatics that turns heterogeneous medical records into structured and actionable information.
Rare diseases affecting 350 million individuals are commonly associated with delay in diagnosis or misdiagnosis.
Many computational models were proposed to extract temporal patterns from clinical time series for each patient and among patient group for predictive healthcare.
Rare diseases affect a relatively small number of people, which limits investment in research for treatments and cures.
Pharmaceutical targeting is one of key inputs for making sales and marketing strategy planning.