I, A., O, P., J, A., M, F., F, A., A, P. D., . . . G, V. (2025). Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: A machine-learning approach. Epidemiology and psychiatric sciences, 34, e28. https://doi.org/10.1017/S2045796025000198
Chicago Style (17th ed.) CitationI, Alayo, et al. "Identifying Most Important Predictors for Suicidal Thoughts and Behaviours Among Healthcare Workers Active During the Spain COVID-19 Pandemic: A Machine-learning Approach." Epidemiology and Psychiatric Sciences 34 (2025): e28. https://doi.org/10.1017/S2045796025000198.
MLA (9th ed.) CitationI, Alayo, et al. "Identifying Most Important Predictors for Suicidal Thoughts and Behaviours Among Healthcare Workers Active During the Spain COVID-19 Pandemic: A Machine-learning Approach." Epidemiology and Psychiatric Sciences, vol. 34, 2025, p. e28, https://doi.org/10.1017/S2045796025000198.