{"author":[{"last_name":"Bäumer","full_name":"Bäumer, Frederik Simon","first_name":"Frederik Simon","id":"38837"},{"full_name":"Grote, Nicolai","last_name":"Grote","first_name":"Nicolai"},{"full_name":"Kersting, Joschka","last_name":"Kersting","first_name":"Joschka","id":"58701"},{"full_name":"Geierhos, Michaela","last_name":"Geierhos","first_name":"Michaela","id":"42496","orcid":"0000-0002-8180-5606"}],"year":"2017","file":[{"content_type":"application/pdf","file_name":"Bäumer et al. (2017), Bäumer2017_Original.pdf","file_id":"19570","date_created":"2020-09-18T09:21:45Z","success":1,"file_size":770358,"access_level":"closed","creator":"jkers","relation":"main_file","date_updated":"2020-09-18T09:21:45Z"}],"keyword":["Physician Reviews","User Privacy","Nocuous Data Exposure"],"_id":"1161","language":[{"iso":"eng"}],"publication_identifier":{"eisbn":["978-3-319-67642-5"],"isbn":["978-3-319-67641-8"]},"publisher":"Springer","file_date_updated":"2020-09-18T09:21:45Z","type":"book_chapter","conference":{"name":"23rd International Conference on Information and Software Technologies (ICIST 2017)","start_date":"2017-10-12","end_date":"2017-10-14","location":"Druskininkai, Lithuania"},"date_created":"2018-02-01T09:17:36Z","status":"public","intvolume":" 756","has_accepted_license":"1","user_id":"58701","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"date_updated":"2022-01-06T06:51:04Z","place":"Cham, Switzerland","citation":{"short":"F.S. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 77–89.","chicago":"Bäumer, Frederik Simon, Nicolai Grote, Joschka Kersting, and Michaela Geierhos. “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews.” In Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damaševičius and Víctor Mikašytė, 756:77–89. Communications in Computer and Information Science. Cham, Switzerland: Springer, 2017. https://doi.org/10.1007/978-3-319-67642-5_7.","ama":"Bäumer FS, Grote N, Kersting J, Geierhos M. Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In: Damaševičius R, Mikašytė V, eds. Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings. Vol 756. Communications in Computer and Information Science. Cham, Switzerland: Springer; 2017:77-89. doi:10.1007/978-3-319-67642-5_7","ieee":"F. S. Bäumer, N. Grote, J. Kersting, and M. Geierhos, “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews,” in Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, vol. 756, R. Damaševičius and V. Mikašytė, Eds. Cham, Switzerland: Springer, 2017, pp. 77–89.","mla":"Bäumer, Frederik Simon, et al. “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews.” Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damaševičius and Víctor Mikašytė, vol. 756, Springer, 2017, pp. 77–89, doi:10.1007/978-3-319-67642-5_7.","apa":"Bäumer, F. S., Grote, N., Kersting, J., & Geierhos, M. (2017). Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In R. Damaševičius & V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings (Vol. 756, pp. 77–89). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-67642-5_7","bibtex":"@inbook{Bäumer_Grote_Kersting_Geierhos_2017, place={Cham, Switzerland}, series={Communications in Computer and Information Science}, title={Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews}, volume={756}, DOI={10.1007/978-3-319-67642-5_7}, booktitle={Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}, publisher={Springer}, author={Bäumer, Frederik Simon and Grote, Nicolai and Kersting, Joschka and Geierhos, Michaela}, editor={Damaševičius, Robertas and Mikašytė, VíctorEditors}, year={2017}, pages={77–89}, collection={Communications in Computer and Information Science} }"},"series_title":"Communications in Computer and Information Science","doi":"10.1007/978-3-319-67642-5_7","quality_controlled":"1","volume":756,"publication_status":"published","ddc":["000"],"editor":[{"last_name":"Damaševičius","full_name":"Damaševičius, Robertas","first_name":"Robertas"},{"first_name":"Víctor","last_name":"Mikašytė","full_name":"Mikašytė, Víctor"}],"abstract":[{"text":"Consulting a physician was long regarded as an intimate and private matter. The physician-patient relationship was perceived as sensitive and trustful. Nowadays, there is a change, as medical procedures and physicians consultations are reviewed like other services on the Internet. To allay user’s privacy doubts, physician review websites assure anonymity and the protection of private data. However, there are hundreds of reviews that reveal private information and hence enable physicians or the public to identify patients. Thus, we draw attention to the cases when de-anonymization is possible. We therefore introduce an approach that highlights private information in physician reviews for users to avoid an accidental disclosure. For this reason, we combine established natural-language-processing techniques such as named entity recognition as well as handcrafted patterns to achieve a high detection accuracy. That way, we can help websites to increase privacy protection by recognizing and uncovering apparently uncritical information in user-generated texts.","lang":"eng"}],"page":"77-89","title":"Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews","publication":"Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings"}