Classification is increasingly important, particularly in the medical domain that has seen a huge growth in journals, articles, new publishers and new publishing models. This along with the ever-increasing number of lengthy clinical trial reports makes it hard even for the most dedicated medical professionals and researchers in niche fields to keep track of new research and developments. Our classification and semantic search not only allow users to home in on the broadest knowledge base possible, but also can be made accessible (searchable) in their very own language.
Our service can extend to allowing classifications of trustworthiness, readability (literacy) and user knowledge level (based on query input and historical log analysis).
The resources involved in creating such an accurate multi-lingual and semantic search service are many, including: terminological and language resources from our KConnect knowledge base; Natural Language Processing (NLP e.g. Named Entity Recognition); language specific lexico-syntactic tools (e.g. PoS, compound word splitting); high level language components (e.g. negation detection, date reference attribution) and machine translation training medical corpora.
Such classification is also used in the presentation of search results and can be used for certain use cases e.g. patient segmentation
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