PERFORMANCE COMPARISON OF MACHINE LEARNING ALGORITHMS IN PREDICTING DIABETES DIAGNOSIS IN WOMEN

Kərimov E., Zaim Gökbay İ.
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Abstract

Objective: Diabetes, a chronic disease with an increasing incidence every year and affecting life negatively, affects both the physical and social life of the individual in many ways such as the systemic diseases it causes, obesity, and sexual life. Diabetes; is examined in 3 classes as Type 1, Type 2 and gestational diabetes. The International Diabetes Federation, in its 2021 diabetes atlas, estimated that 6.7 million of adult deaths aged 20-79 this year were due to diabetes or its complications, excluding the risks of death associated with the COVID-19 pandemic. Early diagnosis and treatment of diabetes in women has crucial importance due to the role of women in society.
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机器学习算法在预测女性糖尿病诊断中的性能比较
目的:糖尿病是一种慢性疾病,其发病率每年都在增加,并对生活产生负面影响,它以多种方式影响个人的身体和社会生活,例如它引起的全身性疾病、肥胖和性生活。糖尿病;分为1型、2型和妊娠期糖尿病。国际糖尿病联合会在其2021年糖尿病地图集中估计,今年有670万20-79岁的成年人死于糖尿病或其并发症,不包括与COVID-19大流行相关的死亡风险。由于妇女在社会中的作用,对妇女糖尿病的早期诊断和治疗至关重要。
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Vətən Müharibəsi: 44 Günlük Zəfər Salnaməsi İKİNCİ QARABAĞ MÜHARİBƏSİ YENİ NƏSİL MÜHARİBƏ KİMİ ESTETIK GINEKOLOGIYADA MÜASİR MÜALİCƏ ÜSULLARI PERFORMANCE COMPARISON OF MACHINE LEARNING ALGORITHMS IN PREDICTING DIABETES DIAGNOSIS IN WOMEN Təcavüzkar münasibətlərdə disfunksional inancların xüsusiyyətləri (Azərbaycanda)
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