MEDLINE MINING QUINTELLIGENCE DEMOS ![]()
The core system was developed by the AI Lab at the IJS and refocused by Quintelligence within the MIDAS project to analyze the MEDLINE dataset. It can be implemented in premises to work with proprietary data. It is currently available as Open Source under the BSD license. The MeSH Classifier is a tool developed by Quintelligence to classify free text with the latest MeSH Headings provided by NHS. It is based on the DMOZ classifier, learning over 80+ years of MEDLINE data, and over the MeSH tree with 16 major categories and a max of 13 levels of deepness. It provides all the classifying categories with position number and (cosine) similarity weight, with a slider and a number of max categories visible. It available through a web app and an API.
The core system was developed by the AI Lab at the IJS and refocused by Quintelligence within the MIDAS project to use the MeSH Headings to classify free text. It can be implemented in premises to work with proprietary data. It is currently available as Open Source under the BSD license. ![]() The Kibana dashboard permits the user to profit of data visualization modules that feed on his/her datasets built in ElasticSearch. This tool enables one to query the dataset and produce different types of data visualization modules that can later integrate a customized dashboard. Kibana can be used in any language with any document set (public or private) that can be indexed, analyzed and visualized with this approach.
This system was developed by the AI Lab at the IJS and refocused by Quintelligence within the MIDAS project to visually analyze the MEDLINE dataset. It can be implemented in premises to work with proprietary data. It is currently available as Open Source under the BSD license. ![]() ![]() 3 |