Found: 7
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Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares (PLS) regression analysis.
- Published in:
- PLoS ONE, 2017, v. 12, n. 12, p. 1, doi. 10.1371/journal.pone.0189677
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- Article
Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.
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- Journal of Medical Systems, 2018, v. 42, n. 5, p. 1, doi. 10.1007/s10916-018-0940-7
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- Article
Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia.
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- PLoS ONE, 2023, v. 18, n. 8, p. 1, doi. 10.1371/journal.pone.0289613
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- Article
Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in Bangladesh.
- Published in:
- PLoS ONE, 2022, v. 17, n. 10, p. 1, doi. 10.1371/journal.pone.0276718
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- Publication type:
- Article
Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach.
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- PLoS ONE, 2021, v. 16, n. 6, p. 1, doi. 10.1371/journal.pone.0253172
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- Article
Risk factors of neonatal mortality and child mortality in Bangladesh.
- Published in:
- 2018
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- Publication type:
- journal article
Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh.
- Published in:
- International Journal of Cognitive Computing in Engineering, 2022, v. 3, p. 46, doi. 10.1016/j.ijcce.2022.02.002
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- Publication type:
- Article