The ICN-UN Battery: A Machine Learning-Optimized Tool for Expeditious Alzheimer’s Disease Diagnosis
- DOI
- 10.3390/diagnostics15233045
- Published
- 11
- Container
- Diagnostics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics15233045,
title = {The ICN-UN Battery: A Machine Learning-Optimized Tool for Expeditious Alzheimer’s Disease Diagnosis},
author = {Ernesto Barceló and Duban Romero and Ricardo Allegri and Eliana Meza and María I. Mosquera-Heredia and Oscar M. Vidal and Carlos Silvera-Redondo and Mauricio Arcos-Burgos and Pilar Garavito-Galofre and Jorge I. Vélez},
year = {2025},
journal = {Diagnostics},
doi = {10.3390/diagnostics15233045},
url = {https://doi.org/10.3390/diagnostics15233045}
}RIS
TY - JOUR TI - The ICN-UN Battery: A Machine Learning-Optimized Tool for Expeditious Alzheimer’s Disease Diagnosis AU - Ernesto Barceló AU - Duban Romero AU - Ricardo Allegri AU - Eliana Meza AU - María I. Mosquera-Heredia AU - Oscar M. Vidal AU - Carlos Silvera-Redondo AU - Mauricio Arcos-Burgos AU - Pilar Garavito-Galofre AU - Jorge I. Vélez PY - 2025 JO - Diagnostics DO - 10.3390/diagnostics15233045 UR - https://doi.org/10.3390/diagnostics15233045 ER -
APA
Barceló, E., Romero, D., Allegri, R., Meza, E., Mosquera-Heredia, M. I., Vidal, O. M., Silvera-Redondo, C., Arcos-Burgos, M., Garavito-Galofre, P., & Vélez, J. I. (2025). The ICN-UN Battery: A Machine Learning-Optimized Tool for Expeditious Alzheimer’s Disease Diagnosis. Diagnostics. https://doi.org/10.3390/diagnostics15233045
Source records
- doaj · retrieved 2026-09-26T19:53:51.973Z