Publisher
Springer Science and Business Media LLC
Subject
Obstetrics and Gynecology,General Medicine
Reference23 articles.
1. Vogel JPCS, Moller AB, Watananirun K, Bonet M, Lumbiganon P (2018) The global epidemiology of preterm birth. Best Pract Res Clin Obstet Gynaecol. https://doi.org/10.1016/j.bpobgyn.2018.04.003
2. Tran T, Luo, W, Phung, D et al (2016) Preterm birth prediction: Stable selection of interpretable rules from high dimensional data. In F. Doshi-Velez, J. Fackler, D. Kale, B. Wallace, & J. Wiens (Eds.), 1st Machine Learning for Healthcare Conference: 19–20 August 2016, Children’s Hospital LA, Los Angeles, CA, USA (Vol. 56, pp. 164–177). Proceedings of Machine Learning Research (PMLR). proceedings.mlr.press/v56/Tran16.pdf.
3. Trotter A SR, Sander S, Muche R, Lucke W (2018) Frühgeburtenrate in 6 Perinatalzentren in Baden-Württemberg – Potential zur Reduktion der Frühgeborenenzahl [Preterm Birth Rate at 6 Centres for Perinatal Medicine in Baden-Württemberg - Potential to Reduce Prematurity]. Z Geburtshilfe Neonatol 222 (5):197–206. German. https://doi.org/10.1055/a-0721-2232.
4. Walani SR (2020) Global burden of preterm birth. Int J Gynaecol Obstet 150(1):31–33. https://doi.org/10.1002/ijgo.13195
5. Thorsell MKM, Almström H, Andolf E (2008) Expected day of delivery from ultrasound dating versus last menstrual period–obstetric outcome when dates mismatch. BJOG 115(5):585–589. https://doi.org/10.1111/j.1471-0528.2008.01678.x