Bi-dimensional health space mapping: machine learning analysis of population health dynamics in Korean and Dutch cohorts.
- DOI
- 10.1007/s10068-025-02011-w
- Published
- 2026 Jan
- Container
- Food science and biotechnology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s10068-025-02011-w,
title = {Bi-dimensional health space mapping: machine learning analysis of population health dynamics in Korean and Dutch cohorts.},
author = {Kim Y and van den Broek T and Brouwer-Brolsma EM and Feskens EJM and Bouwman J and Kwon O},
year = {2026},
journal = {Food science and biotechnology},
doi = {10.1007/s10068-025-02011-w},
url = {https://doi.org/10.1007/s10068-025-02011-w}
}RIS
TY - JOUR TI - Bi-dimensional health space mapping: machine learning analysis of population health dynamics in Korean and Dutch cohorts. AU - Kim Y AU - van den Broek T AU - Brouwer-Brolsma EM AU - Feskens EJM AU - Bouwman J AU - Kwon O PY - 2026 JO - Food science and biotechnology DO - 10.1007/s10068-025-02011-w UR - https://doi.org/10.1007/s10068-025-02011-w ER -
APA
Y, K., T, V. D. B., EM, B., EJM, F., J, B., & O, K. (2026). Bi-dimensional health space mapping: machine learning analysis of population health dynamics in Korean and Dutch cohorts.. Food science and biotechnology. https://doi.org/10.1007/s10068-025-02011-w
Source records
- pubmed · retrieved 2026-09-27T08:34:06.137Z