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Febrl - Freely extensible biomedical record linkage

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dc.contributor.authorChristen, Peteren_US
dc.contributor.authorChurches, Timen_US
dc.date.accessioned2003-06-27en_US
dc.date.accessioned2004-05-19T12:15:43Zen_US
dc.date.accessioned2011-01-05T08:29:34Z
dc.date.available2004-05-19T12:15:43Zen_US
dc.date.available2011-01-05T08:29:34Z
dc.date.created2002en_US
dc.date.issued2002en_US
dc.description.abstractThis manual describes prototype software called Febrl designed to undertake probabilistic data cleaning (or standardisation) and record linkage. Written in the Python programming language, this software aims to allow health, biomedical and other researchers to clean (standardise) and link data sets of all sizes faster, with less effort and with improved quality. The authors would be grateful if users of Febrl would inform us (by e-mail) of how they have used the system. We are particularly interested in references to scientific papers or reports which mention or cite Febrl. Some suggested citations for Febrl will be provided in the next version of this manual.en_US
dc.format.extent557699 bytesen_US
dc.format.extent356 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.format.mimetypeapplication/octet-streamen_US
dc.identifier.urihttp://hdl.handle.net/1885/40723en_US
dc.identifier.urihttp://digitalcollections.anu.edu.au/handle/1885/40723
dc.language.isoen_AUen_US
dc.subjectFebrlen_US
dc.subjectmanualen_US
dc.subjectdata cleaningen_US
dc.subjectdata linkageen_US
dc.subjectTR-CSen_US
dc.titleFebrl - Freely extensible biomedical record linkageen_US
dc.typeWorking/Technical Paperen_US
local.citationComputer Science Technical Reports no.TR-CS-02-05en_US
local.contributor.affiliationDepartment of Computer Science, FEITen_US
local.contributor.affiliationANUen_US
local.description.refereednoen_US
local.identifier.citationmonthocten_US
local.identifier.citationyear2002en_US
local.identifier.eprintid1523en_US
local.rights.ispublishedyesen_US

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