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Authors
Park, Sung-Soo http://orcid.org/0000-0002-8826-4136
Lee, Jong Cheol http://orcid.org/0000-0002-2809-5254
Byun, Ja Min
Choi, Gyucheol
Kim, Kwan Hyun http://orcid.org/0000-0003-4975-2839
Lim, Sungwon
Dingli, David http://orcid.org/0000-0001-7477-3004
Jeon, Young-Woo http://orcid.org/0000-0003-3362-8200
Yahng, Seung-Ah
Shin, Seung-Hwan
Min, Chang-Ki
Koo, Jamin http://orcid.org/0000-0003-4299-1546
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Funding
Funding for this research was provided by:
National IT Industry Promotion Agency (A1503211006)
National Research Foundation of Korea (NRF-2021H1D3A2A01098743)
Ministry of Health and Welfare (HA21C0013)
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Article History
Received: 23 September 2022
Accepted: 3 May 2023
First Online: 20 May 2023
Competing interests
: S.S.P. and J.C.L. are advisors for ImpriMed, Inc. J.K., S.L., and G.C. have a patent application about the methodology used to develop the ML models described in this study. S.S.P. has received honoraria for lectures and participation in advisory boards from Janssen Korea and Amgen Korea. D.D. has received honoraria for lectures and participation in advisory boards from Alexion, Apellis, Roche, Janssen, Novartis, and Sanofi, as well as research grants from K36 Pharmaceuticals. No disclosures were reported by the other authors not listed in this section.
