Analyzing of Alzheimer's Disease Based on Biomedical and Socio-Economic Approach Using Molecular Communication, Artificial Neural Network, and Random Forest Models
Yazarlar (7)
Prof. Dr. Yüksel Bayraktar Türkiye
Doç. Dr. Esme Işık Türkiye
İbrahim Işık Türkiye
Doç. Dr. Ayfer Özyılmaz Türkiye
Prof. Dr. Metin Toprak Türkiye
Doç. Dr. Fatma KAHRAMAN GÜLOĞLU Yalova Üniversitesi, Türkiye
Serdar Aydın
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Sustainability (Q2) | ||
| Dergi ISSN | 2071-1050 Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2022 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 28-06-2022 |
| Cilt / Sayı / Sayfa | 14 / 13 / 1–15 | DOI | 10.3390/su14137901 |
| Makale Linki | http://dx.doi.org/10.3390/su14137901 | ||
| UAK Araştırma Alanları |
Yoğun Madde Fiziği
Nanoteknoloji
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| Özet |
| Alzheimer’s disease will affect more people with increases in the elderly population, as the elderly population of countries everywhere generally rises significantly. However, other factors such as regional climates, environmental conditions and even eating and drinking habits may trigger Alzheimer’s disease or affect the life quality of individuals already suffering from this disease. Today, the subject of biomedical engineering is being studied intensively by many researchers considering that it has the potential to produce solutions to various diseases such as Alzheimer’s caused by problems in molecule or cell communication. In this study, firstly, a molecular communication model with the potential to be used in the treatment and/or diagnosis of Alzheimer’s disease was proposed, and its results were analyzed with an artificial neural network model. Secondly, the ratio of people suffering from Alzheimer’s disease to the total population, along with data of educational status, income inequality, poverty threshold, and the number of the poor in Turkey were subjected to detailed distribution analysis by using the random forest model statistically. As a result of the study, it was determined that a higher income level was causally associated with a lower risk of Alzheimer’s disease. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları |