Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach.
- DOI
- 10.2196/72423
- Published
- 2025 Jul 31
- Container
- JMIR bioinformatics and biotechnology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/72423,
title = {Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach.},
author = {Agustriawan D and Mulia A and Overbeek MV and Kurniawan V and Syechlo J and Widjaja M and Ahmad MI},
year = {2025},
journal = {JMIR bioinformatics and biotechnology},
doi = {10.2196/72423},
url = {https://doi.org/10.2196/72423}
}RIS
TY - JOUR TI - Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach. AU - Agustriawan D AU - Mulia A AU - Overbeek MV AU - Kurniawan V AU - Syechlo J AU - Widjaja M AU - Ahmad MI PY - 2025 JO - JMIR bioinformatics and biotechnology DO - 10.2196/72423 UR - https://doi.org/10.2196/72423 ER -
APA
D, A., A, M., MV, O., V, K., J, S., M, W., & MI, A. (2025). Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach.. JMIR bioinformatics and biotechnology. https://doi.org/10.2196/72423
Source records
- pubmed · retrieved 2026-09-26T07:10:06.235Z