Arab Open University's (AOU) branch in Oman has developed software for detection and risk assessment of diabetes and other related diseases. This software is ontology driven known as Decision Support System. It was developed as part of the Research Council (TRC) Open Research Grant program. AOU was awarded this project in 2012.
I would like to make some observations about statistics-based categorization and search, and about the advantages that their proponents claim. First of all, statistics-based co-occurrence approaches do have their place. For wide-ranging bodies of text such as email archives and social media exchanges, and for assessing the nature of an unknown collection of documents, a well-defined collection of concepts covering a pre-determined area of study and practice is not possible. For lack of this foundation, and for lack of other practical approaches, attempts at analysis fall back on less-than -ideal mathematical approaches.
In 2014, we improved the instruction manuals significantly – to be more comprehensive without being harder on the eyes. We upgraded the documentation to be even clearer, more consistent and complete than before, while removing extraneous material.
I like the variety of exports available. We’re still creating custom ones for content and web content management systems that require specialized formats, and we’ll continue to do that. But now we can offer exports of limited (top) levels of a hierarchy and exports that include only the fields that you want.
I think the changes in the TestMAI function are really exciting. If you’re loading files from a directory, Data Harmony now remembers that directory rather than requiring you to find the full path each time. And, once you have loaded or pasted in text to index and press the M.A.I. button, in addition to seeing the suggested terms, you see the matches that activated rules to suggest those terms - or not; it’s really easy to turn off the highlighting with a Ctrl+L key press.
Access Innovations, Inc. has announced that version 3.9 of its Data Harmony suite of software tools is now available. The Data Harmony® suite provides content management solutions to improve information organization by systematically applying a taxonomy or thesaurus, in total integration with patented natural language processing methods. MAIstro™, the award-winning flagship software module of the Data Harmony product line, combines Thesaurus Master® (for taxonomy creation and maintenance) with M.A.I.™ (Machine Aided Indexer) for interactive text analysis and better subject tagging.
Science is all about evolution and that includes the library of science, specifically the Public Library of Science (PLOS) and their thesaurus. With more than 10,700 Subject Area terms, they use the thesaurus to index articles and provide useful links to related papers, enhanced search functions, and PLOS ONE - an e-journal platform with subject area browsing capability made possible by the PLOS thesaurus.
We have shared here many times the angst of those who are worried about the ICD-10 coding classification transition that goes into effect on October 1, 2014. The new classification system has five times the number of codes, hence the angst.
This past week, Access Innovations has been hosting the annual Data Harmony Users Group (DHUG) meeting, which has included a variety of presentations. We presented a case study titled “Proven Technology in a New Market: the Data Harmony Suite of Products — A Game Changer in the Medical Claims Compliance Space.”