A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features.

MLA

Massara, Paraskevi, et al. “A Novel Systematic Pipeline for Increased Predictability and Explainability of Growth Patterns in Children Using Trajectory Features.” International Journal of Medical Informatics, vol. 177, Sept. 2023, p. 105143. EBSCOhost, https://doi.org/10.1016/j.ijmedinf.2023.105143.

APA

Massara, P., Lopez-Dominguez, L., Bourdon, C., Bassani, D. G., Keown-Stoneman, C. D. G., Birken, C. S., Maguire, J. L., Santos, I. S., Matijasevich, A., Bandsma, R. H. J., & Comelli, E. M. (2023). A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features. International Journal of Medical Informatics, 177, 105143. https://doi.org/10.1016/j.ijmedinf.2023.105143

Chicago

Massara, Paraskevi, Lorena Lopez-Dominguez, Celine Bourdon, Diego G Bassani, Charles D G Keown-Stoneman, Catherine S Birken, Jonathon L Maguire, et al. 2023. “A Novel Systematic Pipeline for Increased Predictability and Explainability of Growth Patterns in Children Using Trajectory Features.” International Journal of Medical Informatics 177 (September): 105143. doi:10.1016/j.ijmedinf.2023.105143.