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Detecting privacy-sensitive events in medical text

Authors:

Prateek Jindal,

Carl A. Gunter,

Dan RothAuthors Info & Claims

BCB '14: Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

Pages 617 - 620

https://doi.org/10.1145/2649387.2662451

Published: 20 September 2014 Publication History

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Abstract

In this paper, we present a novel semi-supervised technique for finding privacy-sensitive events in clinical text. Unlike traditional semi-supervised methods, we do not require large amounts of unannotated data. Instead, our approach relies on information contained in the hierarchical structure of a large medical encyclopedia.

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Cited By

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Zalte JShah H(2024) Contextual classification of clinical records with bidirectional long short‐term memory ( Bi‐LSTM) and bidirectional encoder representations from transformers ( BERT) model Computational Intelligence10.1111/coin.1269240:4Online publication date: 21-Aug-2024
https://doi.org/10.1111/coin.12692
Löbner STesfay WBracamonte VNakamura T(2023)Systematizing the State of Knowledge in Detecting Privacy Sensitive Information in Unstructured Texts using Machine Learning2023 20th Annual International Conference on Privacy, Security and Trust (PST)10.1109/PST58708.2023.10320187(1-7)Online publication date: 21-Aug-2023
https://doi.org/10.1109/PST58708.2023.10320187
Halimi AAyday EKlamma RO'Halloran SRokne J(2021)Real-time privacy risk quantification in online social networksProceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.1145/3487351.3488272(74-81)Online publication date: 8-Nov-2021
https://dl.acm.org/doi/10.1145/3487351.3488272
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Index Terms

Detecting privacy-sensitive events in medical text

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Information & Contributors

Information

Published In

BCB '14: Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

September 2014

851 pages

ISBN:9781450328944

DOI:10.1145/2649387

General Chairs:
Pierre Baldi
University of California, Irvine
,
Wei Wang
University of California, Los Angeles

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2014

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Funding Sources

U.S. Department of Health and Human Services

Conference

BCB '14

Sponsor:

SIGBio

BCB '14: ACM-BCB '14

September 20 - 23, 2014

California, Newport Beach

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Overall Acceptance Rate 254 of 885 submissions, 29%

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Cited By

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Zalte JShah H(2024) Contextual classification of clinical records with bidirectional long short‐term memory ( Bi‐LSTM) and bidirectional encoder representations from transformers ( BERT) model Computational Intelligence10.1111/coin.1269240:4Online publication date: 21-Aug-2024
https://doi.org/10.1111/coin.12692
Löbner STesfay WBracamonte VNakamura T(2023)Systematizing the State of Knowledge in Detecting Privacy Sensitive Information in Unstructured Texts using Machine Learning2023 20th Annual International Conference on Privacy, Security and Trust (PST)10.1109/PST58708.2023.10320187(1-7)Online publication date: 21-Aug-2023
https://doi.org/10.1109/PST58708.2023.10320187
Halimi AAyday EKlamma RO'Halloran SRokne J(2021)Real-time privacy risk quantification in online social networksProceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.1145/3487351.3488272(74-81)Online publication date: 8-Nov-2021
https://dl.acm.org/doi/10.1145/3487351.3488272
Guarino AMalandrino DZaccagnino R(2021)An automatic mechanism to provide privacy awareness and control over unwittingly dissemination of online private informationComputer Networks10.1016/j.comnet.2021.108614(108614)Online publication date: Nov-2021
https://doi.org/10.1016/j.comnet.2021.108614
Umar PSquicciarini ARajtmajer S(2020)A Study of Self-Privacy Violations in Online Public Discourse2020 IEEE International Conference on Big Data (Big Data)10.1109/BigData50022.2020.9378163(1041-1050)Online publication date: 10-Dec-2020
https://doi.org/10.1109/BigData50022.2020.9378163
Tesfay WSerna JRannenberg K(2019)PrivacyBot: Detecting Privacy Sensitive Information in Unstructured Texts2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS)10.1109/SNAMS.2019.8931855(53-60)Online publication date: Oct-2019
https://doi.org/10.1109/SNAMS.2019.8931855
Tesfay WSerna-Olvera J(2016)Towards User-Centered Privacy Risk Detection and Quantification Framework2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS)10.1109/NTMS.2016.7792487(1-5)Online publication date: Nov-2016
https://doi.org/10.1109/NTMS.2016.7792487

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