より詳細な情報
テキストマイニングおよび文書分類
Text mining of medical records for radiodiagnostic decision-making
Claster, Shanmuganathan, and Ghotbi (2008) Journal of Computers 3:1
Radiology department records of children who had undergone a CT scan procedure at Nagasaki University Hospital in the year 2004 were analyzed using SOMine. Keywords were identified with a significance value within the narratives of the medical records that could predict and thereby lower the number of unnecessary CT requests by clinicians. This method can be used to reduce overuse of medical radiation, which poses significant health risks and staggering costs, especially with regard to children.
Modular bibliometric information system with proprietary software (MOBIS-ProSoft): a versatile approach to bibliometric research tools
Sotolongo-Aguilar, Suárez-Balseiro and Guzmán-Sánchez (2000) Library and Information Science Research 10(2):1-10
A platform including artificial neural networking software for bibliometric research was developed to provide low complexity framework software that is reasonably available. The approach works smoothly with small and medium size corpora and may be very useful for both research and educational purposes. SOMine was used to allow work without models and statistical assumptions. The method lead to a very good representation of high-dimensional data by maintaining similarities implicit in the data.
