Estimating biological age by hematological blood parameters

A. Pisaruk, L. Mekhova
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Abstract

Abstract. For the estimation of the biological age (BA) of people based on hematological parameters of the clinical blood test there were used MLR and Deep Neural Networks. In the archive of the Institute of Gerontology NAMS of Ukraine there were selected people aged from 20 up to 90 years (440 men and 504 women), who had all hematological parameters within normal limits. When using the MLR method, the multiple correlation coefficients (R) have low values for both men (0.37) and women (0.38). The use of Deep Neural Networks has given good results. The values of the correlation coefficients between BA and chronological age were 0.92 for men and 0.79 for women. The average absolute error in determining BA was 3.68 years for the men and 6.55 years for the women. The developed method for assessing hematological age can be used in clinical practice to identify people with the risk of developing hematological pathology, as well as in population researches. Keywords: biological age, hematological blood parameters, deep neural network
通过血液参数估计生物年龄
摘要基于临床血液检测的血液学参数估计人的生物年龄(BA),主要采用MLR和深度神经网络。在乌克兰老年学研究所(NAMS)的档案中,选择了年龄从20岁到90岁的人(440名男性和504名女性),所有血液学参数都在正常范围内。当使用MLR方法时,男性(0.37)和女性(0.38)的多重相关系数(R)均较低。深度神经网络的应用取得了良好的效果。BA与实足年龄的相关系数男性为0.92,女性为0.79。确定BA的平均绝对误差男性为3.68岁,女性为6.55岁。所开发的血液学年龄评估方法可用于临床实践,以确定具有发展血液学病理风险的人群,以及在人口研究中。关键词:生物年龄,血液参数,深度神经网络
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