Cite
ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines.
MLA
Domínguez, Jesús, et al. “ROAD2H: Development and Evaluation of an Open-Source Explainable Artificial Intelligence Approach for Managing Co-Morbidity and Clinical Guidelines.” Learning Health Systems, vol. 8, no. 2, Apr. 2024, pp. 1–14. EBSCOhost, https://doi.org/10.1002/lrh2.10391.
APA
Domínguez, J., Prociuk, D., Marović, B., Čyras, K., Cocarascu, O., Ruiz, F., Mi, E., Mi, E., Ramtale, C., Rago, A., Darzi, A., Toni, F., Curcin, V., & Delaney, B. (2024). ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines. Learning Health Systems, 8(2), 1–14. https://doi.org/10.1002/lrh2.10391
Chicago
Domínguez, Jesús, Denys Prociuk, Branko Marović, Kristijonas Čyras, Oana Cocarascu, Francis Ruiz, Ella Mi, et al. 2024. “ROAD2H: Development and Evaluation of an Open-Source Explainable Artificial Intelligence Approach for Managing Co-Morbidity and Clinical Guidelines.” Learning Health Systems 8 (2): 1–14. doi:10.1002/lrh2.10391.