<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fudickar, Sebastian</style></author><author><style face="normal" font="default" size="100%">Bantel, Carsten</style></author><author><style face="normal" font="default" size="100%">Spieker, Jannik</style></author><author><style face="normal" font="default" size="100%">Töpfer, Heinrich</style></author><author><style face="normal" font="default" size="100%">Stegeman, Patrick</style></author><author><style face="normal" font="default" size="100%">Schiphorst Preuper, Henrica R.</style></author><author><style face="normal" font="default" size="100%">Reneman, Michiel F.</style></author><author><style face="normal" font="default" size="100%">Wolff, André P.</style></author><author><style face="normal" font="default" size="100%">Soer, Remko</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Natural language processing of referral letters improves machine learning-based triaging of patients with low back pain to the most appropriate intervention</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Medical Internet Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2023</style></date></pub-dates></dates></record></records></xml>