APA (7th ed.) Citation

M, S., S, T., K, R., S, U., JM, S., T, B., . . . AJ, F. (2024). Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry. Cardiology journal, 31(4), 512. https://doi.org/10.5603/cj.98489

Chicago Style (17th ed.) Citation

M, Sokolski, et al. "Phenotype Clustering of Hospitalized High-risk Patients with COVID-19 - a Machine Learning Approach Within the Multicentre, Multinational PCHF-COVICAV Registry." Cardiology Journal 31, no. 4 (2024): 512. https://doi.org/10.5603/cj.98489.

MLA (9th ed.) Citation

M, Sokolski, et al. "Phenotype Clustering of Hospitalized High-risk Patients with COVID-19 - a Machine Learning Approach Within the Multicentre, Multinational PCHF-COVICAV Registry." Cardiology Journal, vol. 31, no. 4, 2024, p. 512, https://doi.org/10.5603/cj.98489.