Librenza-Garcia, D., Passos, I. C., Feiten, J. G., Lotufo, P. A., Goulart, A. C., de Souza Santos, I., . . . Brunoni, A. R. (2021). Prediction of depression cases, incidence, and chronicity in a large occupational cohort using machine learning techniques: An analysis of the ELSA-Brasil study. Psychological medicine, 51(16), 2895-2903. https://doi.org/10.1017/S0033291720001579
Chicago Style (17th ed.) CitationLibrenza-Garcia, Diego, Ives Cavalcante Passos, Jacson Gabriel Feiten, Paulo A. Lotufo, Alessandra C. Goulart, Itamar de Souza Santos, Maria Carmen Viana, Isabela M. Benseñor, and Andre Russowsky Brunoni. "Prediction of Depression Cases, Incidence, and Chronicity in a Large Occupational Cohort Using Machine Learning Techniques: An Analysis of the ELSA-Brasil Study." Psychological Medicine 51, no. 16 (2021): 2895-2903. https://doi.org/10.1017/S0033291720001579.
MLA (9th ed.) CitationLibrenza-Garcia, Diego, et al. "Prediction of Depression Cases, Incidence, and Chronicity in a Large Occupational Cohort Using Machine Learning Techniques: An Analysis of the ELSA-Brasil Study." Psychological Medicine, vol. 51, no. 16, 2021, pp. 2895-2903, https://doi.org/10.1017/S0033291720001579.