Neutrosophic Clinical decision support system for the treatment of pregnant women with heart diseases

• Published in: Investigación operacional 2020-11, Vol.41 (5), p.773
• Main Authors: Al-subhi, Salah Hasan, Rubio, Pedro Antonio Román, Pérez, Pedro Piñero, Vacacela, Roberto García, Mahdi, Gaafar Sadeq S
• Format: Article
• Language: English
• ISSN: 0257-4306

One of the risks during pregnancy, with high negative impact on both pregnant and fetus is cardiovascular disease suffering. Early diagnosis and appropriate treatment of this pathology significantly reduce the risk for pregnant. This problem is characterized by the insufficient availability of experts with knowledge of medical specialties involved, making it difficult to both diagnosis process and prescription of the appropriate treatment. In addition, in this problem, there are situations of indetermination, uncertainty, vagueness, and incomplete data. Hence the need to create novel computational techniques for supporting clinical decision making for the treatment of these diseases. This paper aims at creating a new model based on Neutrosophic Cognitive Map that integrates diagnosis, treatment, and prognosis processes for supporting clinical decision-making during the treatment of cardiovascular diseases during pregnancy. In the proposed model, indeterminacy relationships are represented by triangular neutrosophic numbers. In order to validate the model, a data base with 1019 cases provided by Cardiovascular and Pregnancy National Service / Gynecology and Obstetrics Hospital Ramón Gonzales Coros is used. Finally, the model's results are evaluated by experts to demonstrate the efficiency of the proposed model for treating pregnant women with cardiovascular diseases. KEYWORDS: Clinical Decision Support System, Neutrosophic Cognitive Maps, Triangular Neutrosophic Number, Heart Diseases in Pregnancy.