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Title:
SYNTHETIC PATIENT DATA GENERATION METHOD AND DEVICE UTILIZING LOCAL DIFFERENTIAL PRIVACY-BASED GENERATIVE ADVERSARIAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2024/058380
Kind Code:
A1
Abstract:
A secure medical data generation electronic device according to an embodiment may comprise: a memory in which computer-executable instructions are stored; and a processor which accesses the memory to execute the instructions, wherein the instructions: generate perturbed patient data from patient data extracted from electronic medical records (EMRs); generate perturbed pseudo data from pseudo data generated on the basis of a generator from a latent vector of a latent space; train a generative adversarial network (GAN)-based model including a generator and a discriminator on the basis of the perturbed patient data and the perturbed pseudo data; and generate secured medical data by using the generator.

Inventors:
KIM YOUNG-HAK (KR)
JUN TAE JOON (KR)
GWON HANSLE (KR)
AHN IMJIN (KR)
KANG HEEJUN (KR)
KIM YUNHA (KR)
SEO HYERAM (KR)
CHO HANA (KR)
KIM MINKYOUNG (KR)
HAN JIYE (KR)
KEE GAEUN (KR)
PARK SEOHYUN (KR)
CHOI HEEJUNG (KR)
Application Number:
PCT/KR2023/009488
Publication Date:
March 21, 2024
Filing Date:
July 05, 2023
Export Citation:
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Assignee:
ASAN FOUND (KR)
UNIV ULSAN FOUND IND COOP (KR)
International Classes:
G16H10/60; G06N3/08; G06N20/00; G16H50/70
Foreign References:
KR20220095949A2022-07-07
KR20210107261A2021-09-01
KR20200124610A2020-11-03
Other References:
RYU JIHYEON, WON DONGHO, LEE YOUNGSOOK: "A Study of Split Learning Model to Protect Privacy", JOURANL OF INFORMATION AND SECURITY, vol. 21, no. 3, 30 September 2021 (2021-09-30), pages 49 - 56, XP093147299, ISSN: 1598-7329, DOI: 10.33778/kcsa.2021.21.3.049
CAI ZHIPENG ZCAI@GSU.EDU; XIONG ZUOBIN ZXIONG2@STUDENT.GSU.EDU; XU HONGHUI HXU16@STUDENT.GSU.EDU; WANG PENG WPENG12@STUDENT.GSU.ED: "Generative Adversarial Networks", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, vol. 54, no. 6, 13 July 2021 (2021-07-13), 201 Olin Library Cornell University Ithaca, NY 14853, pages 1 - 38, XP058622155, DOI: 10.1145/3459992
Attorney, Agent or Firm:
MUHANN PATENT & LAW FIRM (KR)
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