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

Emre Ölmez

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

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.

Keywords

References

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Details

Primary Language

English

Subjects

Clinical Sciences, Engineering

Journal Section

Research Article

Authors

Emre Ölmez ^* This is me
0000-0003-1686-0251
Türkiye

Publication Date

April 30, 2022

Submission Date

November 28, 2021

Acceptance Date

April 19, 2022

Published in Issue

Year 2022 Volume: 2 Number: 1

IZ

https://izlik.org/JA96LA43NW

Cite

RIS / Bibtex

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. https://izlik.org/JA96LA43NW

AMA

1.Ölmez E. Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease. AITA. 2022;2(1):8-13. https://izlik.org/JA96LA43NW

Chicago

Ölmez, Emre. 2022. “Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease”. Artificial Intelligence Theory and Applications 2 (1): 8-13. https://izlik.org/JA96LA43NW.

EndNote

Ölmez E (April 1, 2022) Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease. Artificial Intelligence Theory and Applications 2 1 8–13.

IEEE

[1]E. Ölmez, “Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease”, AITA, vol. 2, no. 1, pp. 8–13, Apr. 2022, [Online]. Available: https://izlik.org/JA96LA43NW

ISNAD

Ölmez, Emre. “Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease”. Artificial Intelligence Theory and Applications 2/1 (April 1, 2022): 8-13. https://izlik.org/JA96LA43NW.

JAMA

1.Ölmez E. Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease. AITA. 2022;2:8–13.

MLA

Ölmez, Emre. “Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease”. Artificial Intelligence Theory and Applications, vol. 2, no. 1, Apr. 2022, pp. 8-13, https://izlik.org/JA96LA43NW.

Vancouver

1.Emre Ölmez. Artificial Intelligence Based Decision Support System for Early Diagnosis of Mesothelioma Disease. AITA [Internet]. 2022 Apr. 1;2(1):8-13. Available from: https://izlik.org/JA96LA43NW