Prediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network

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REZAEENOUR J.; Saadi G.; JAHANI M.

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Journal: Journal of Ilam University of Medical Sciences Year:2020 | Volume:27 | Issue:5 Page(s): 15-23

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Title

Prediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network

Author(s)

REZAEENOUR J. | Saadi G. | JAHANI M. | Issue Writer Certificate

Keywords

Artificial neural networkQ1

cardiovascular diseaseQ1

Data miningQ1

Genetic algorithmQ1

PredictionQ1

Abstract

Introduction: It is of utmost importance to predict cardiovascular diseases correctly. Therefore, it is necessary to utilize those models with a minimum error rate and maximum reliability. This study aimed to combine an Artificial neural network with the Genetic algorithm to assess patients with myocardial infarction and congestive heart failure. Materials & Methods: This study utilized a multi-layer perceptron Artificial neural network and a backpropagation algorithm combined with a Genetic algorithm to assess the condition of two patients with cardiovascular diseases. The medical records of 497 patients with cardiovascular diseases at Ayatollah Golpayegani Hospital, Qom, Iran, were collected using a clustering sampling method. The data were analyzed using a Receiver Operating Characteristics Curve. Eventually, the data, including personal and clinical variables of patients (i. e., age, gender, dyspnea, blood pressure variations, and blood test results) were selected using sigmoid-transfer and tangent-sigmoid functions. Following that, the neural network was trained with 19 input neurons and 5 middle-layer neurons. Findings: According to the results, a neural network with 5 middle-layer neurons has more precision, compared to other modes. Therefore, it is possible to predict myocardial infarction in the patients using this neural network with a minimum of 97. 7% precision. Discussion & Conclusions: An Artificial neural network was combined with a Genetic algorithm and proposed as a model to predict myocardial infarction in this study. Moreover, it was attempted to utilize important and cost-effective factors for cardiovascular diseases. As a result, the patients can be aware of their disease at the lowest cost.

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APA: Copy

REZAEENOUR, J., Saadi, G., & JAHANI, M.. (2020). Prediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network. JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES, 27(5 ), 15-23. SID. https://sid.ir/paper/372609/en

Vancouver: Copy

REZAEENOUR J., Saadi G., JAHANI M.. Prediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network. JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2020;27(5 ):15-23. Available from: https://sid.ir/paper/372609/en

IEEE: Copy

J. REZAEENOUR, G. Saadi, and M. JAHANI, “Prediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network,” JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES, vol. 27, no. 5 , pp. 15–23, 2020, [Online]. Available: https://sid.ir/paper/372609/en

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