Prediction of out-of-pocket health expenditures in Rwanda using machine learning techniques.

Journal: The Pan African medical journal

PMID: 33796171

Abstract

INTRODUCTION: in Rwanda, the estimated out-of-pocket health expenditure has been increased from 24.46% in 2000 to 26% in 2015. Despite the existence of guideline in estimation of out-of-pocket health expenditures provided by WHO (2018), the estimation of out-of-pocket health expenditure still have difficulties in many countries including Rwanda.

Authors

Roger Muremyi

African Centre of Excellence in Data Science, Department of Applied Statistics, University of Rwanda, Kigali, Rwanda.
Dominique Haughton

Global Studies, Bentley University, Boston, United States of America.
Ignace Kabano

African Centre of Excellence in Data Science, Kigali, Kigali, Rwanda.
François Niragire

Applied Statistics, University of Rwanda, Kigali, Rwanda.

Keywords

Algorithms Female Guidelines as Topic Health Expenditures Health Policy Humans Machine Learning Male Models, Theoretical Rwanda Surveys and Questionnaires Universal Health Insurance

External Resources

View on PubMed Access via DOI PubMed (33796171)

Prediction of out-of-pocket health expenditures in Rwanda using machine learning techniques.

Abstract

Authors

Keywords

External Resources

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