A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-15037-1_20
Reference27 articles.
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2. Andersson, S., Bathula, D.R., Iliadis, S.I., Walter, M., Skalkidou, A.: Predicting women with depressive symptoms postpartum with machine learning methods. Sci. Rep. 11(1), 7877 (2021). https://doi.org/10.1038/s41598-021-86368-y, http://www.nature.com/articles/s41598-021-86368-y
3. Ay, F.: Postpartum depression and the factors affecting It: 2000–2017 study results. J. Psychiatr. Nurs. 93, 147–152 (2018). https://doi.org/10.14744/phd.2018.31549, https://www.journalagent.com/phd/pdfs/PHD-31549-RESEARCH_ARTICLE-AY.pdf
4. Azad, R., et al.: Prevalence and risk factors of postpartum depression within one year after birth in urban slums of Dhaka, Bangladesh. PLOS ONE 14(5), e0215735 (2019). https://doi.org/10.1371/journal.pone.0215735, https://dx.plos.org/10.1371/journal.pone.0215735
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