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Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease

Year 2022, Volume 2, Issue 1, 8 - 13, 30.04.2022

Abstract

Mesothelioma is a malignant tumor mostly seen in the membranes of heart and lungs. The exposure of these organs to substances such as asbestos and erionite causes mesothelioma disease. As a result of the deformation in these organs, shortness of breath, chest or back pain, cough and similar complaints occur. Because the symptoms of mesothelioma overlap with those of many other diseases, diagnosing the disease can be difficult and time-consuming. The goal of this study is to design an artificial intelligence-based early diagnosis system for mesothelioma disease. Two alternative neural network (NN) algorithms were utilized for this, and their results were analyzed. The performances of artificial neural network (ANN) and convolutional neural network (CNN) models were compared. F-measure rates for the designed ANN and CNN architectures were measured as 95% and 98%, respectively. The results showed that NN-based methods can be used in the early diagnosis of the disease. The software that will be built based on this model is expected to assist physicians in their decision-making processes.

References

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Details

Primary Language English
Subjects Engineering, Basic Sciences, Medicine
Journal Section Research Articles
Authors

Emre ÖLMEZ This is me (Primary Author)
YOZGAT BOZOK UNIVERSITY
0000-0003-1686-0251
Türkiye

Publication Date April 30, 2022
Published in Issue Year 2022, Volume 2, Issue 1

Cite

APA Ölmez, E. (2022). Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease . Artificial Intelligence Theory and Applications , 2 (1) , 8-13 . Retrieved from https://dergipark.org.tr/en/pub/aita/issue/70443/1136213