Hugo Calero-Diaz, David Chushig-Muzo, Cristina Soguero-Ruíz. Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques. In Hujun Yin, David Camacho, Peter Tiño, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2022 - 23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings. Volume 13756 of Lecture Notes in Computer Science, pages 22-30, Springer, 2022. [doi]
@inproceedings{Calero-DiazCS22,
title = {Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques},
author = {Hugo Calero-Diaz and David Chushig-Muzo and Cristina Soguero-Ruíz},
year = {2022},
doi = {10.1007/978-3-031-21753-1_3},
url = {https://doi.org/10.1007/978-3-031-21753-1_3},
researchr = {https://researchr.org/publication/Calero-DiazCS22},
cites = {0},
citedby = {0},
pages = {22-30},
booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2022 - 23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings},
editor = {Hujun Yin and David Camacho and Peter Tiño},
volume = {13756},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-21753-1},
}