APA (7th ed.) Citation

Nopp, S., Spielvogel, C., Bikdeli, B., Alberich-Conesa, A., Hernández-Blasco, L., Peris, M. L., . . . Arcelus, J. I. (2025). A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism. Scientific Reports, 15(1), 1. https://doi.org/10.1038/s41598-025-14893-1

Chicago Style (17th ed.) Citation

Nopp, Stephan, et al. "A Machine Learning Approach to Identify Patients at Risk for Long-term Consequences After Pulmonary Embolism." Scientific Reports 15, no. 1 (2025): 1. https://doi.org/10.1038/s41598-025-14893-1.

MLA (9th ed.) Citation

Nopp, Stephan, et al. "A Machine Learning Approach to Identify Patients at Risk for Long-term Consequences After Pulmonary Embolism." Scientific Reports, vol. 15, no. 1, 2025, p. 1, https://doi.org/10.1038/s41598-025-14893-1.