Febrl manual

 · Febrl - Freely extensible biomedical record linkage. Peter Christen [1], Tim Churches [2] [1] Department of Computer Science Australian National University Canberra ACT Australia Email: www.doorway.ruen@www.doorway.ru [2] Centre for Epidemiology and Research. This manual describes the Febrl graphical user interface (GUI) with its many configuration options. The structure of the GUI is such that there is one page (or tab, similar to tabs in modern Web browsers) for each of the main steps in the record linkage process, i.e. data initialisation, data cleaning and standardisation, indexing (blocking), field. The Freely Extensible Biomedical Record Linkage (Febrl) package is distributed with a dataset generator and four datasets generated with the generator. This function returns the first Febrl dataset as a www.doorway.ruame.

The programs described in this manual, known collectively under the moniker Febrl (’Freely extensible biomedical record linkage’), are currently being developed as part of a collaborative project being undertaken by the ANU Data Mining Group and the Centre for Epidemiology and Research in the New South Wales Department of Health. The aim. Freely Extensible Biomedical Record Linkage (FEBRL) is a data mining technology. This software is an open source data cleaning, de-duplication and record linkage system with a graphical user interface. FEBRL is designed to undertake probabilistic data cleaning (or standardization) and record linkage. Written in the Python programming language. This manual describes the Febrl graphical user interface (GUI) with its many configuration options. The structure of the GUI is such that there is one page (or tab, similar to tabs in modern Web browsers) for each of the main steps in the record linkage process, i.e. data initialisation, data cleaning and standardisation, indexing (blocking), field.

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