Christoph, thanks a lot ! I added that as a baseline for our table. The idea is to run a script every night to update that table from the names actually in use in the demographics database.
@all: Mini Project: - Python script that attaches to the database - per firstname compile gender freqency stats - discard all firstnames with distribution between, say, 30-70% (eg. exclude ambiguity) - update/insert remaining firstnames into name_gender_map - leave alone other entries already in there Karsten -- GPG key ID E4071346 @ wwwkeys.pgp.net E167 67FD A291 2BEA 73BD 4537 78B9 A9F9 E407 1346 _______________________________________________ Gnumed-devel mailing list [email protected] http://lists.gnu.org/mailman/listinfo/gnumed-devel
