ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
An Open Source Tool for Game Theoretic Health Data De-Identification.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05277116 (The Electronic Medical Records and GEnomics), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Electronic Medical Records and GEnomics (eMERGE) Network Genomic Risk Assessment
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Open tools for quantitative anonymization of tabular phenotype data: literature review.Briefings in bioinformatics · 2022Pooled it
- Stable-Phase Peyronie's Disease: Have Perilesional Injections of Hyaluronic Acid Come of Age?Clinics and practice · 2026Article
- Utility of Multimodal Large Language Models in Analyzing Chest X-Rays with Incomplete Contextual Information.Healthcare informatics research · 2025Article
- Parallel privacy preservation through partitioning (P4): a scalable data anonymization algorithm for health data.BMC medical informatics and decision making · 2025Article
- A decade of research on genetic privacy: the findings of the GetPreCiSe Center at Vanderbilt University.Frontiers in genetics · 2025Review
- PanDa Game: Optimized Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model.IEEE transactions on nanobioscience · 2023Article
- Using game theory to thwart multistage privacy intrusions when sharing data.Science advances · 2021Article
- Article
- A comprehensive tool for creating and evaluating privacy-preserving biomedical prediction models.BMC medical informatics and decision making · 2020Article
- The Impact of Medical Big Data Anonymization on Early Acute Kidney Injury Risk Prediction.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Research Challenges at the Intersection of Big Data, Security and Privacy.Frontiers in big data · 2019Article
- Between Access and Privacy: Challenges in Sharing Health Data.Yearbook of medical informatics · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Biomedical data continues to grow in quantity and quality, creating new opportunities for research and data-driven applications. To realize these activities at scale, data must be shared beyond its initial point of collection. To maintain privacy, healthcare organizations often de-identify data, but they assume worst-case adversaries, inducing high levels of data corruption. Recently, game theory has been proposed to account for the incentives of data publishers and recipients (who attempt to re-identify patients), but this perspective has been more hypothetical than practical. In this paper, we report on a new game theoretic data publication strategy and its integration into the open source software ARX. We evaluate our implementation with an analysis on the relationship between data transformation, utility, and efficiency for over 30,000 demographic records drawn from the U.S. Census Bureau. The results indicate that our implementation is scalable and can be combined with various data privacy risk and quality measures.
Indexed as
Identifiers
29854212PMC5977602What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.