---
_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'
...