PS-P02-1: MACHINE LEARNING PREDICTS MELATONIN TARGETS ON THE PSYCHOSOCIAL STRESS-SLEEP/CIRCADIAN-CARDIOMETABOLIC DISORDERS TRIAD.

MLA

Campos, Luciana A., et al. “Ps-P02-1: Machine Learning Predicts Melatonin Targets on the Psychosocial Stress-Sleep/Circadian-Cardiometabolic Disorders Triad.” Journal of Hypertension, vol. 41, Jan. 2023, p. e239. EBSCOhost, https://doi.org/10.1097/01.hjh.0000915164.40169.23.

APA

Campos, L. A., Baltatu, O. C., Senar, S., Ghimouz, R., Alefishat, E., & Neto, J. C. (2023). Ps-P02-1: Machine Learning Predicts Melatonin Targets on the Psychosocial Stress-Sleep/Circadian-Cardiometabolic Disorders Triad. Journal of Hypertension, 41, e239. https://doi.org/10.1097/01.hjh.0000915164.40169.23

Chicago

Campos, Luciana A, Ovidiu C Baltatu, Sergio Senar, Rym Ghimouz, Eman Alefishat, and Jose Cipolla Neto. 2023. “Ps-P02-1: Machine Learning Predicts Melatonin Targets on the Psychosocial Stress-Sleep/Circadian-Cardiometabolic Disorders Triad.” Journal of Hypertension 41 (January): e239. doi:10.1097/01.hjh.0000915164.40169.23.