Machine Learning–Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study
This study shows the use and feasibility of ML for assessing the incidence of ND in patients with T2DM and suggests its potential for use in screening patients. Further international studies are required to validate these findings.
Authors
- Ho Geol Woo (ORCID: https://orcid.org/0000-0001-6489-0100)
- Jaeyu Park (ORCID: https://orcid.org/0009-0005-2009-386X)
- Sang Youl Rhee (ORCID: https://orcid.org/0000-0003-0119-5818)
- Sihoon Lee (ORCID: https://orcid.org/0000-0002-9444-5849)
- Dong Keon Yon (ORCID: https://orcid.org/0000-0003-1628-9948)
- You‐Cheol Hwang (ORCID: https://orcid.org/0000-0003-4033-7874)
- Ai Koyanagi (ORCID: https://orcid.org/0000-0002-9565-5004)
- Hyunji Sang (ORCID: https://orcid.org/0000-0003-2557-5911)
- Hyunjung Lim (ORCID: https://orcid.org/0000-0001-7632-7315)
- Lee Smith (ORCID: https://orcid.org/0000-0002-5340-9833)
- Hojae Lee (ORCID: https://orcid.org/0009-0002-1737-2540)
- Sun Young Kim (ORCID: https://orcid.org/0000-0003-4115-4455)
- Tae Sun Park (ORCID: https://orcid.org/0000-0001-7216-8468)
Institutions
- Gachon University (KR)
- Kyung Hee University (KR)
- Kyung Hee University Medical Center (KR)
- Parc Sanitari Sant Joan de Déu (ES)
- Kyung Hee University Hospital at Gangdong (KR)
- Anglia Ruskin University (GB)
- Jeonbuk National University (KR)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-10-03
- DOI
- https://doi.org/10.2196/56922
- Citations
- 5
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 1.79