Scanning an individual monitoring database for multiple occurrences using bi-gram analysis.
Maintaining the integrity of the databases is one of the important aspects of quality assurance at individual monitoring services and national dose registers. This paper presents a method for finding and preventing the occurrence of duplicate entries in the databases that can occur, e.g. because of a variable spelling or misspelling of the name. The method is based on bi-gram text analysis techniques. The methods can also be used for retrieving dose data in historical databases in the framework of dose reconstruction efforts of persons of whom the spelling of the name as originally entered, possibly decades ago, is uncertain.
van Dijk
J W E
JW
NRG Radiation and Environment, P.O. Box 3094, 6800 ES Arnhem, The Netherlands. j.vandijk@nrg-nl.com
D000465:Algorithms; D001185:Artificial Intelligence; D001822:Body Burden; D003628:Database Management Systems; D016208:Databases, Factual; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D009275:Names; D009323:Natural Language Processing; D011834:Radiation Monitoring / Q000379:methods*; D011835:Radiation Protection / Q000379:methods; D012062:Relative Biological Effectiveness