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Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia
Studies & Findings

Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia

Ahinkorah, B. O. et al. Socio-economic and demographic factors associated with fertility preferences among women of reproductive age in ghana: Evidence from the 2014 demographic and health survey. Reproduct. Health. 18 (1), 2 (2021). PubMed  PubMed Central  Google Scholar  Odusina, E. K. et al. Fertility preferences among couples in nigeria: A cross sectional study. Reproduct.

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Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach
Studies & Findings

Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach

Identification of dysregulated expressed genes As the work flow shown in Fig. S1, three GEO data sets (GSE61145, GSE34198, and GSE66360) were included in this study. A total of 697, 163, and 734 up-regulated and 679, 72, and 741 downregulated genes were obtained in GSE34198, GSE61145, and GSE66360 respectively (Fig. 1A). According to the heatmap shown

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