• Dukunde Marie Jeanne

This thesis aims to predict teenage pregnancy in Rwanda. Teenage pregnancy is a critical social and public health issue with significant consequences for the well-being and future prospects of young individuals. Despite various interventions and efforts to reduce teenage pregnancy rates, the problem persists in Rwanda. This research seeks to enhance the current pool of knowledge by creating a predictive model that can identify factors associated with teenage pregnancy and provide insights into effective prevention strategies. In order to make accurate projections regarding teenage pregnancy, the purpose of this study is focused to undertake a secondary data analysis on the outcomes of a previous study. the Demographic Health Surveys that were carried out in Rwanda between the years 2014-2015 and 2019-2020 to Predict teenage pregnancy in Rwanda. In addition, logistic regression and K nearest Neighbor to predict factors associated with socio-demographic and teenage pregnancy characteristics. According to the study's findings, teenage mothers encounter significant challenges in terms of their opportunities and prospects for the future. Specifically, the research revealed that 63% of these young mothers were still enrolled as students at the time of their pregnancy, while only 5% managed to continue their education afterward. Based on the study's findings, adolescent mothers encounter a substantial challenge concerning their ability to analyze situations and the predictability of their future outcomes. The study revealed that 63% of these young mothers were still pursuing their education when they got pregnant, while only 5% managed to continue their studies. In addition, there are difficulties associated with social integration for teen mothers. They are shunned by the community and left to fend for themselves by their families as well as the men who have been in relationships with them. This research utilized non-parametric chi-square tests as a methodology to assess the correlation between independent variables and dependent variables. The investigation focused on examining the association between socio-demographic characteristics and the occurrence of teenage pregnancy in Rwanda. The results of the chi-square tests indicated that there are a greater number of variables that are correlated with the dependent variable than there are variables that are not connected. The variables that showed a significant association with teenage pregnancy include the Province, Age of teen, and Education of the teen. The presence of these elements showed a strong association with teenage pregnancy. The prevalence of teenage pregnancies was found at 6.2% and was highly influenced by the sexual activity of the teens where 0% of teens have had their 1st sex at the age under 10 years and 10.6% of teens in the age range from 10- 14 years and a percentage of 42,8% in the age range from 15- 19 years. The results of this study offer valuable understanding regarding the elements linked to adolescent pregnancy in Rwanda and emphasize the necessity for targeted interventions and programs to address this issue. By understanding these factors, policymakers, the government, and non-governmental organizations can develop more effective prevention strategies and support systems in order to lower the prevalence of teenage pregnancies and with negative effects on young individuals in Rwanda.

This abstract highlight the prediction of teenage pregnancy in Rwanda utilizing socio-demographic, age, Education, and healthcare-related variables. The study aims to help policymakers, the government, and non-governmental organizations to predict and design programs and interventions for teenage pregnancy in Rwanda.

"Prediction of teenage pregnancy in Rwanda", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.b300-b308, November-2023, Available :http://www.jetir.org/papers/JETIR2311136.pdf

"Prediction of teenage pregnancy in Rwanda", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppb300-b308, November-2023, Available at : http://www.jetir.org/papers/JETIR2311136.pdf