--- _id: '1161' abstract: - lang: eng 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. author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Nicolai full_name: Grote, Nicolai last_name: Grote - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: 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' 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} }' 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.' 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.' 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.' conference: end_date: 2017-10-14 location: Druskininkai, Lithuania name: 23rd International Conference on Information and Software Technologies (ICIST 2017) start_date: 2017-10-12 date_created: 2018-02-01T09:17:36Z date_updated: 2022-01-06T06:51:04Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' doi: 10.1007/978-3-319-67642-5_7 editor: - first_name: Robertas full_name: Damaševičius, Robertas last_name: Damaševičius - first_name: Víctor full_name: Mikašytė, Víctor last_name: Mikašytė file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:21:45Z date_updated: 2020-09-18T09:21:45Z file_id: '19570' file_name: Bäumer et al. (2017), Bäumer2017_Original.pdf file_size: 770358 relation: main_file success: 1 file_date_updated: 2020-09-18T09:21:45Z has_accepted_license: '1' intvolume: ' 756' keyword: - Physician Reviews - User Privacy - Nocuous Data Exposure language: - iso: eng page: 77-89 place: Cham, Switzerland publication: 'Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings' publication_identifier: eisbn: - 978-3-319-67642-5 isbn: - 978-3-319-67641-8 publication_status: published publisher: Springer quality_controlled: '1' series_title: Communications in Computer and Information Science status: public title: 'Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews' type: book_chapter user_id: '58701' volume: 756 year: '2017' ...