E, H., C, S., K, C., V, B., RC, P., C, S., & MA, H. (2025). Machine learning-optimized perinatal depression screening: Maximum impact, minimal burden. MedRxiv : the preprint server for health sciences. https://doi.org/10.1101/2025.10.13.25337771
Chicago Style (17th ed.) CitationE, Hurwitz, Shell C, Chugh K, Bergink V, Patel RC, Schiller C, and Haendel MA. "Machine Learning-optimized Perinatal Depression Screening: Maximum Impact, Minimal Burden." MedRxiv : The Preprint Server for Health Sciences 2025. https://doi.org/10.1101/2025.10.13.25337771.
MLA (9th ed.) CitationE, Hurwitz, et al. "Machine Learning-optimized Perinatal Depression Screening: Maximum Impact, Minimal Burden." MedRxiv : The Preprint Server for Health Sciences, 2025, https://doi.org/10.1101/2025.10.13.25337771.