Christian Gulden, Inge Landerer, Azadeh Nassirian, Fatma Betül Altun, Johanna Andrae. Extraction and Prevalence of Structured Data Elements in Free-Text Clinical Trial Eligibility Criteria. In Amnon Shabo Shvo, Inge Madsen, Hans-Ulrich Prokosch, Kristiina Häyrinen, Klaus-Hendrik Wolf, Fernando Martín-Sánchez, Matthias Löbe, Thomas M. Deserno, editors, ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference - 7-10 April 2019, Hanover, Germany. Volume 258 of Studies in Health Technology and Informatics, pages 226-230, IOS Press, 2019. [doi]
@inproceedings{GuldenLNAA19, title = {Extraction and Prevalence of Structured Data Elements in Free-Text Clinical Trial Eligibility Criteria}, author = {Christian Gulden and Inge Landerer and Azadeh Nassirian and Fatma Betül Altun and Johanna Andrae}, year = {2019}, doi = {10.3233/978-1-61499-959-1-226}, url = {https://doi.org/10.3233/978-1-61499-959-1-226}, researchr = {https://researchr.org/publication/GuldenLNAA19}, cites = {0}, citedby = {0}, pages = {226-230}, booktitle = {ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference - 7-10 April 2019, Hanover, Germany}, editor = {Amnon Shabo Shvo and Inge Madsen and Hans-Ulrich Prokosch and Kristiina Häyrinen and Klaus-Hendrik Wolf and Fernando Martín-Sánchez and Matthias Löbe and Thomas M. Deserno}, volume = {258}, series = {Studies in Health Technology and Informatics}, publisher = {IOS Press}, isbn = {978-1-61499-959-1}, }