Deep Learning-Based Method of Diagnosing Hyperlipidemia and Providing Diagnostic Markers Automatically

Yuliang Liu,1,* Quan Zhang,1,* Geng Zhao,2,* Guohua Liu,3,4 Zhiang Liu5 1College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, People’s Republic of China; 2Tianjin Medical University Hospital for Metabolic Disease, Tianjin 300134, People’s Republic of China; 3College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, People’s Republic of China; 4Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Nankai University, Tianjin 300350, People’s Republic of China; 5School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuliang Liu; Guohua Liu Email ylliu@tust.edu.cn; liugh@nankai.edu.cnIntroduction: The research of auxiliary diagnosis has always been one of the hotspots in the world. The implementation of auxiliary diagnosis support algorithm for medical text data faces challenges with interpretability and creditability. The improvement of clinical diagnostic techniques means not only the improvement of diagnostic accuracy but also the further study of diagnostic basis. Traditional research methods for diagnostic markers often require a large amount of time and economic costs. Research objects are often dozens of samples, and it is, therefore, difficult to synthesize large amounts of data. Therefore, the comprehensiveness and reliability of traditional methods have yet to be improved. Therefore, the establishment of a model that can automatically diagnose diseases and automatically provide a diagnostic basis at the same time has a positive effect on the improvement of medical diagnostic techniques.Methods: Here, we established an auxiliary diagnostic tool based on attention deep learning algorithm to diagnostic hyperlipemia and automatically predict the corresponding diagnosti