Pacifique Nizeyimana

Loan Risk Assessment for Umurenge SACCO using Machine Learning

Richard Mazimpaka, Pacifique Nizeyimana

Umurenge SACCOs are instrumental in fostering financial inclusion in Rwanda, yet they face significant challenges with high loan default rates that threaten their long-term sustainability. This study develops a predictive model using machine learning techniques to assess loan default risk among SACCO …

Rwanda (code pays fourni par la source)

Automated Data Collection and Predictive Budget Analysis for Government Fleet Scheme Management

Emmanuel Turatsinze, Placide Mukwende, Fidele Hategekimana, Pacifique Nizeyimana

Government Fleet Scheme Management in Rwanda has historically relied on manual, paper-based processes, resulting in inefficiencies, lack of transparency, and forecasting inaccuracies. This work focuses on the development and evaluation of a web-based platform GFSMIS (Government Fleet Scheme Management Information System) designed …

tw, gr, Rwanda (code pays fourni par la source)

Surveillance of Common Circulating Enteric Bacteria and Antimicrobial Susceptibility Patterns in Five Satellite Laboratories in Rwanda, 2014–2022

Edouard Ntagwabira, Justin Mugiraneza, Pacifique Nizeyimana, Jean Pierre Ngangali et autres

Diarrhea diseases are a significant public health problem in Africa. In Rwanda, they are ranked third among the top causes of morbidity and mortality in children under five years of age. However, limited studies have been conducted to identify common circulating enteric …

Rwanda (code pays fourni par la source)

Revolutionizing Air Pollution Spikes Analysis With a Blockchain‐Driven Machine Learning Framework

Eric Nizeyimana, Junseok Hwang, Jules Zirikana, Bonaventure Karikumutima et autres

ABSTRACT Air pollution spikes pose significant health risks and environmental challenges that demand innovative solutions for effective analysis and mitigation. This paper introduces a groundbreaking approach to revolutionize air pollution spikes analysis using a blockchain‐driven machine learning framework. Leveraging the transparency and …

Rwanda, kr, us (code pays fourni par la source)

Refining early detection of Marburg Virus Disease (MVD) in Rwanda: Leveraging predictive symptom clusters to enhance case definitions

Olivier Nsekuye, Frederick Ntabana, Hugues Valois Mucunguzi, Ziad El‐Khatib et autres

BACKGROUND: Marburg Virus Disease (MVD) poses a significant global health risk due to its high case fatality rates (24%-88%) and the diagnostic challenges posed by its nonspecific early symptoms, which overlap with other febrile illnesses like malaria. This study analyzed symptom patterns …

Rwanda, se, pk (code pays fourni par la source)

Enhancing Malaria Incidence Prediction Using Weather Variables: A Comparative Study of Gradient Boosting and Random Forest Regression Models

Daniel Nsanzabandi, Pacifique Nizeyimana

Malaria remains a significant global health challenge, particularly in regions where environmental conditions favor the Anopheles mosquito vector. This study evaluates the effectiveness of incorporating weather variables into predictive models for malaria incidence, comparing Gradient Boosting Regression (GBR) and Random Forest Regression …

Rwanda (code pays fourni par la source)

Modeling of Underground Mineral Production Using Machine Learning Techniques: A Case Study of Rutongo Mines Limited Cassiterite

Rene Ruganji, Pacifique Nizeyimana

This research investigates the application of machine learning for forecasting cassiterite production at the Rutongo Mines Limited Concession using time-series data. This study compares various models and evaluates their performance based on R-squared and Mean Squared Error (MSE). The Gradient Boosting model …

Rwanda (code pays fourni par la source)

Clustering and Analysis of Maternal Mortality Causes in Rwanda: Implications for Targeted Health Interventions

Boaz Ngizimana, Pacifique Nizeyimana

Maternal mortality remains a critical public health challenge in Rwanda, with various factors contributing to adverse outcomes across different geographic regions. This study aimed to identify patterns and cluster mortality causes using Principal Component Analysis (PCA) and K-means clustering. K-means was chosen …

Rwanda (code pays fourni par la source)

Bayesian Estimation of Neyman–Scott Rectangular Pulse Model Parameters in Comparison with Other Parameter Estimation Methods

Pacifique Nizeyimana, Kyeong Eun Lee, Gwangseob Kim

Neyman–Scott rectangular pulse is a stochastic rainfall model with five parameters. The impacts of initial values and optimization methods on the parameter estimation of the Neyman–Scott rectangular pulse model were investigated using both the method of moments and the method of maximum …

Rwanda, kr (code pays fourni par la source)

Assessment and exploratory analysis of the indicator-based surveillance (IBS) system in Rwanda

Pacifique Nizeyimana, Olivier Nsekuye, Laurent Ruyange, Solange Twahirwa et autres

Rwanda (code pays fourni par la source)

Assessment and exploratory analysis of Indicator Based Surveillance (IBS) system in Rwanda

Pacifique Nizeyimana, Olivier Nsekuye, Laurent Ruyange, Solange Twahirwa et autres

Abstract Introduction: Rwanda, like other countries, is facing emerging and re-emerging infectious diseases. Since 2002, Rwanda has implemented indicator-based surveillance through the Integrated Disease Surveillance and Response (IDSR) framework. This study aimed to explore the completeness and timeliness of reporting and use …

Rwanda (code pays fourni par la source)

Refining Early Detection of Marburg Virus Disease (Mvd) in Rwanda: Leveraging Predictive Symptom Clusters to Enhance Case Definitions

Olivier Nsekuye, Frederick Ntabana, Hugues Valois Mucunguzi, Ziad El‐Khatib et autres

Rwanda, se, Kenya, pk (code pays fourni par la source)