GarcÃa-Vicente, C.; Chushig-Muzo, D.; Mora-Jiménez, I.; Fabelo, H.; Gram, I.T.; Løchen, M.-L.; Granja, C.; Soguero-Ruiz, C.
Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors. Appl. Sci. 2023, 13, 4119.
https://doi.org/10.3390/app13074119
AMA Style
GarcÃa-Vicente C, Chushig-Muzo D, Mora-Jiménez I, Fabelo H, Gram IT, Løchen M-L, Granja C, Soguero-Ruiz C.
Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors. Applied Sciences. 2023; 13(7):4119.
https://doi.org/10.3390/app13074119
Chicago/Turabian Style
GarcÃa-Vicente, Clara, David Chushig-Muzo, Inmaculada Mora-Jiménez, Himar Fabelo, Inger Torhild Gram, Maja-Lisa Løchen, Conceição Granja, and Cristina Soguero-Ruiz.
2023. "Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors" Applied Sciences 13, no. 7: 4119.
https://doi.org/10.3390/app13074119
APA Style
GarcÃa-Vicente, C., Chushig-Muzo, D., Mora-Jiménez, I., Fabelo, H., Gram, I. T., Løchen, M.-L., Granja, C., & Soguero-Ruiz, C.
(2023). Evaluation of Synthetic Categorical Data Generation Techniques for Predicting Cardiovascular Diseases and Post-Hoc Interpretability of the Risk Factors. Applied Sciences, 13(7), 4119.
https://doi.org/10.3390/app13074119