Data-driven longitudinal characterization of neonatal health and morbidity

MLA

Davide De Francesco, et al. “Data-Driven Longitudinal Characterization of Neonatal Health and Morbidity.” Science Translational Medicine, vol. 15, Feb. 2023. EBSCOhost, https://doi.org/10.1126/scitranslmed.adc9854.

APA

Davide De Francesco, Jonathan D. Reiss, Jacquelyn Roger, Alice S. Tang, Alan L. Chang, Martin Becker, Thanaphong Phongpreecha, Camilo Espinosa, Susanna Morin, Eloïse Berson, Melan Thuraiappah, Brian L. Le, Neal G. Ravindra, Seyedeh Neelufar Payrovnaziri, Samson Mataraso, Yeasul Kim, Lei Xue, Melissa G. Rosenstein, Tomiko Oskotsky, … Nima Aghaeepour. (2023). Data-driven longitudinal characterization of neonatal health and morbidity. Science Translational Medicine, 15. https://doi.org/10.1126/scitranslmed.adc9854

Chicago

Davide De Francesco, Jonathan D. Reiss, Jacquelyn Roger, Alice S. Tang, Alan L. Chang, Martin Becker, Thanaphong Phongpreecha, et al. 2023. “Data-Driven Longitudinal Characterization of Neonatal Health and Morbidity.” Science Translational Medicine 15 (February). doi:10.1126/scitranslmed.adc9854.