Author:
Ansari Nusrat,Edinburg Maniroja M.,Nikitha
Publisher
Springer Nature Switzerland
Reference35 articles.
1. Boyle, B., Addor, M.-C., Arriola, L., et al.: Estimating global burden of disease due to congenital anomaly: an analysis of European data. Arch. Dis. Child Fetal Neonatal Ed. 103, F22–F28 (2018). https://doi.org/10.1136/archdischild-2016-311845. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
2. NCARDRS. National congenital anomaly and rare disease registration service congenital anomaly Statistics report 2018; 2020, Report No.: PHE publications gateway number: GW-1445. UK government: public health England
3. Caban-Holt, A., Head, E., Schmitt, F.: Chapter 15 - Down syndrome. In: Rosenberg, R.N., Pascual, J.M. (eds.) Rosenberg’s Molecular and Genetic Basis of Neurological and Psychiatric Disease, 5th edn., pp. 163–170. Academic Press (2015). ISBN 9780124105294. https://www.sciencedirect.com/science/article/pii/B9780124105294000152
4. Zoppi, M.A., Ibba, R.M., Loris, M., Manca, F., Axiana, C., Monni, G.: Changes in nuchal translucency thickness in normal and abnormal karyotype fetuses. BJOG: Int. J. Obstet. Gynaecol. 110(6), 584–588 (2003). ISSN 1470-0328. https://www.sciencedirect.com/science/article/pii/S147003280302980X
5. Schwalbe, N., Brian Wahl, P.H.: Artificial intelligence and the future of global health, Ph.D. ScienceDirect, 16 May 2020