Risk Factors Prioritization for Chronic Obstructive Pulmonary Disease

Abstract

Lung diseases represent one of the main causes of death in the world. Making an opportune diagnosis would
improve the quality of life of patients. A set of factors intervene in the diagnostic process that significantly impact the
evolution of the disease. However, there is uncertainty to determine which factors promote the development of lung disease.
The present research aims to propose a method for prioritizing risk factors for chronic obstructive pulmonary disease. The
method uses a multi-criteria approach where uncertainty is modeled using neutrosophic numbers. The proposed method is
implemented in a case study at Alfredo Noboa Montenegro Hospital. The result is the prioritization of the factors whose
mitigation would favor the reduction of lung disease.