Given a deep learning model trained on data from source hospital, how to deploy the target hospital automatically? How accommodate heterogeneous medical coding systems across different hospitals? Standard approaches rely existing code mapping tools, which have several practical limitations. To tackle this problem, we propose AutoMap automatically map codes EHR in coarse-to-fine manner: (1) Onto...

The paper introduces the EA (electric acupuncture) treatment system based on expert database diagnosis technique. The system is a expert database of automatic reasoning diagnosis by the combining the maximum likelihood method and relation database. It integrates symbolic measurement theory, computer technology and electronic technology, which develops EA needling method by imitating classical a...

We propose an original automatic alignment of definitions taken from different dictionaries that could be associated to the same concept although they may have different labels. The alignment between a specialized terminology used by the librarians to index concepts and a general vocabulary employed by a neophyte user in order to retrieve documents on Internet, will certainly improve the perfor...

The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method for a special medical image retrieval problem where the images in the retrieval database can be annotated into one of the pre-defined labels. Even more, a user may query the database with an image that is close to but not exactly wha...