| Issue |
BIO Web Conf.
Volume 105, 2024
IV International Conference on Agricultural Engineering and Green Infrastructure for Sustainable Development (AEGISD-IV 2024)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 6 | |
| Section | Biosystems Engineering and Waste Management | |
| DOI | https://doi.org/10.1051/bioconf/202410502003 | |
| Published online | 26 April 2024 | |
LogNNet Neural Network Application for Diabetes Mellitus Diagnosis
1 Institute of Physics and Technology, Petrozavodsk State University, 185910 Petrozavodsk, Russia
2 Department of Biostatistics and Medical Informatics, Faculty of Medicine, Erzincan Binali Yıldırım University, Erzincan 24000, Turkey
* Corresponding author: izotov93@yandex.ru
The paper presents a LogNNet neural network algorithm for diabetes mellitus diagnosing based on a public dataset. The study used 100 thousand records of patient conditions. Model quality was evaluated using the Matthews Correlation Coefficient metric (MCC). The LogNNet neural network model showed high accuracy (MCC=0.733) in diabetes mellitus recognition. A highly positive relationship between HbA1c level and glucose level in the disease diagnosing was found using the LogNNet model. It has been observed that evaluating these variables together is much more effective than their individual effects in diagnosing the disease.
© The Authors, published by EDP Sciences, 2024
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