Citations refer to the original publication, not to a Scieee localized version.
Caballero, P., González Abril, L., Ortega Ramírez, J. A., & Simon-Soro, A. (2024). Data Mining Techniques for Endometriosis Detection in a Data-Scarce Medical Dataset. MDPI. https://doi.org/10.3390/a17030108
Caballero, Pablo, et al. Data Mining Techniques for Endometriosis Detection in a Data-Scarce Medical Dataset. MDPI, 2024. https://doi.org/10.3390/a17030108.
Caballero, Pablo, Luis González Abril, Juan Antonio Ortega Ramírez, and Aurea Simon-Soro. Data Mining Techniques for Endometriosis Detection in a Data-Scarce Medical Dataset. MDPI, 2024. https://doi.org/10.3390/a17030108.
Caballero, P. et al. (2024) Data Mining Techniques for Endometriosis Detection in a Data-Scarce Medical Dataset. MDPI. Available at: https://doi.org/10.3390/a17030108.
P. Caballero, L. González Abril, J. A. Ortega Ramírez, and A. Simon-Soro, “Data Mining Techniques for Endometriosis Detection in a Data-Scarce Medical Dataset,” MDPI, 2024, doi: 10.3390/a17030108.
@misc{caballero2024data,
author = {Caballero, Pablo and González Abril, Luis and Ortega Ramírez, Juan Antonio and Simon-Soro, Aurea},
title = {Data Mining Techniques for Endometriosis Detection in a Data-Scarce Medical Dataset},
year = {2024},
publisher = {MDPI},
doi = {10.3390/a17030108},
url = {https://doi.org/10.3390/a17030108}
}
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