Diagnosis of diabetes mellitus based on 11 health risk factors using backpropagation

Arifin, Fatchul

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Type :	article
Subject :	R Medicine
ISSN :	1742-6588
Main Author :	Arifin, Fatchul
Additional Authors :	Nurul Nazirah binti Mohd Imam Ma\'arof
Title :	Diagnosis of diabetes mellitus based on 11 health risk factors using backpropagation

Place of Production :	Tanjung Malim
Publisher :	Fakulti Teknikal dan Vokasional
Year of Publication :	2021
Notes :	Journal of Physics: Conference Series
Corporate Name :	Universiti Pendidikan Sultan Idris
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Abstract : Universiti Pendidikan Sultan Idris

Diabetes Mellitus (DM) is a non-communicable disease and is a severe chronic illness. Early detection of DM is one way to detect the possibility of someone getting DM. This application was made to determine the accuracy of the diagnosis of DM using backpropagation ANN. There are 11 risk factors used, namely gender, smoker or not, heredity, systolic blood pressure, diastolic blood pressure, total cholesterol levels, HDL (High-Density Lipoprotein) levels, LDL (Low-Density Lipoprotein) levels, triglyceride levels, BMI (Body Mass Index), and HBA1c levels (Hemoglobin A1c). Risk factors are taken based on medical records of DM patients and data on healthy people. The training and testing of artificial neural networks showed promising results for the suitability of network output and desired targets with a correlation coefficient of 0.98043. The results of testing showed promising results for network output and target match desired with a correlation coefficient of 0.97894. ? 2021 Published under licence by IOP Publishing Ltd.

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Sriyanto, S., & Sutedi, S. (2021). Identifikasi penyakit diabetes millitus menggunakan jaringan syaraf tiruan dengan metode perambatan-balik (backpropagation). Jurnal Informatika, 10, 79-94. Retrieved from www.scopus.com

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