Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS)
Author:
Affiliation:
1. Brunel University London,Intelligent Data Analysis Group,Dept. of Computer Science,London,UK
2. CPRD, Medicines and Healthcare products Regulatory Agency,London,UK
Funder
Medicines and Healthcare products Regulatory Agency
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10178426/10178704/10178767.pdf?arnumber=10178767
Reference12 articles.
1. Generating and evaluating cross‐sectional synthetic electronic healthcare data: Preserving data utility and patient privacy
2. Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy
3. Using the CareMap with Health Incidents Statistics for Generating the Realistic Synthetic Electronic Healthcare Record
4. Generation and evaluation of synthetic patient data
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