文献类型：期刊文献

英文题名：Deep Learning Based Study on Effect of Fat Thickness on Cardiovascular Function in Essential Hypertension Patients

作者：Ma, Yingxia[1];Xu, Xiaodong[2]

第一作者：Ma, Yingxia

通信作者：Xu, XD[1]

机构：[1]Gansu Gem Flower Hosp, Cardiol Dept, Lanzhou 730060, Gansu, Peoples R China;[2]Gansu Univ Chinese Med, Affiliated Hosp, Cardiol Dept, Lanzhou 730000, Gansu, Peoples R China

第一机构：Gansu Gem Flower Hosp, Cardiol Dept, Lanzhou 730060, Gansu, Peoples R China

通信机构：[1]corresponding author), Gansu Univ Chinese Med, Affiliated Hosp, Cardiol Dept, Lanzhou 730000, Gansu, Peoples R China.|[10735b845793de6ae2b30]甘肃中医药大学第二附属医院;[10735]甘肃中医药大学;

年份：2020

卷号：10

期号：9

起止页码：2032

外文期刊名：JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000549464100010)】；

语种：英文

外文关键词：Depth Neural Network; Fat Thickness; Primary; Hypertension; Cardiovascular System

摘要：In vitro and clinical studies were conducted to investigate whether uric acid could regulate RAS in adipose tissue using 3T3-L1 adipocytes as experimental model. The unsupervised Depth Neural Network (DNN) algorithm is introduced to train and learn the correlation analysis model. Because DNN algorithm has some shortcomings in computing performance, we hope to improve it, an automatic sparse encoder is designed, which can effectively preprocess the data and improve the accuracy and efficiency of the prediction algorithm. Then, the effect of RAS activation in adipose tissue on the molecular mechanism of uric acid-induced oxidative stress was investigated by means of deep neural network algorithm. Finally, in 324 patients with hypertension, serum uric acid and plasma AGT were extracted, in these cases, the physical feature of obesity was added. Most of the patients with hypertension are obese, and their uric acid is, high. This study provides a basis for the diagnosis and treatment of hypertension.