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Journal of Personalized Medicine|September 28, 2023
Comparing Machine Learning Classifiers for Predicting Hospital Readmission of Heart Failure Patients in RwandaTheogene Rizinde, Innocent Ngaruye, Nathan D Cahill
BMC Infectious Diseases|July 19, 2023
Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan AfricaCharles K Mutai, Patrick E McSharry, Innocent Ngaruye, et al.
IJID Regions|December 16, 2024
A deterministic analysis of an age-sex-structured model for malaria transmission dynamicsMarie Aimée Uwineza, Joseph Nzabanita, Innocent Ngaruye, et al.
BMC Medical Research Methodology|August 1, 2021
Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan AfricaCharles K Mutai, Patrick E McSharry, Innocent Ngaruye, et al.
BMC Medical Informatics and Decision Making|February 12, 2025
Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in RwandaMuzungu Hirwa Sylvain, Emmanuel Christian Nyabyenda, Melissa Uwase, et al.
Plos One|August 23, 2021
Comparing growth velocity of HIV exposed and non-exposed infants: An observational study of infants enrolled in a randomized control trial in ZambiaObvious Nchimunya Chilyabanyama, Roma Chilengi, Natasha Makabilo Laban, et al.
BMC Nutrition|December 13, 2023
Child stunting prevalence determination at sector level in Rwanda using small area estimationInnocent Ngaruye, Joseph Nzabanita, François Niragire, et al.
BMC Public Health|March 29, 2025
Spatio-temporal variation of child stunting and associated risk factors in RwandaFrançois Niragire, Jeanine Ahishakiye, Innocent Ngaruye, et al.
Children (Basel, Switzerland)|July 27, 2022
Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in ZambiaObvious Nchimunya Chilyabanyama, Roma Chilengi, Michelo Simuyandi, et al.
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