Lung Cancer Detection Using Artificial Neural Network

International Journal of Engineering and Information Systems (IJEAIS), Vol. 3 Issue 3, March – 2019, Pages: 17-23

7 Pages Posted: 16 Nov 2020

Date Written: 2019

Abstract

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy.

Keywords: Data Mining, Machine Learning, Classification, Predictive Analysis, Artificial Neural Networks, Lung Cancer, Cancer Diagnosis

Suggested Citation

Nasser, Ibrahim, Lung Cancer Detection Using Artificial Neural Network (2019). International Journal of Engineering and Information Systems (IJEAIS), Vol. 3 Issue 3, March – 2019, Pages: 17-23 , Available at SSRN: https://ssrn.com/abstract=3700556

Ibrahim Nasser (Contact Author)

Al-Azhar University ( email )

Jamal A. El Naser St.
Gaza, P.O. Box 1
Palestine
0598765286 (Phone)

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