Artificial intelligence helps diagnose the classification of diabetic patients January 11, 2019 Source: Science and Technology Daily Author: in chawol On the 9th, the reporter learned from Peking University People's Hospital that the director of the Department of Endocrinology, Ji Linong, led the team to determine the diabetes type of the initial diagnosis of diabetes in China and the United States using data-driven methods, and provided data support for the more accurate treatment of diabetic patients in China. The research results were published in the journal Lancet, Diabetes and Endocrinology. Diabetes is a metabolic disease characterized by elevated pancreatic dysfunction or insulin resistance and characterized by elevated blood sugar. According to the 2017 Global Diabetes Map released by the International Diabetes Federation, there are 425 million adult patients worldwide, with an average of 1 out of 11 people suffering from the disease. Among them, the number of patients in China ranks first in the world, reaching 114 million, which is one third of the total number of patients in the world. "Currently, the diabetes classification system that has been used in the world for more than 20 years is to divide diabetes into multiple subtypes according to the etiology and pathophysiological characteristics, but studies have shown that it has limited effect on guiding clinical treatment." Department of Endocrinology, Peking University People's Hospital In an interview with reporters, Zou Xianyu said that a clear diagnosis can provide a basis for accurate treatment for diabetic patients. As a result, the team “does more work†on more elaborate diabetes typing. Why choose a Chinese and American diabetes patient population? "We want to do our part for the precise classification and treatment of diabetes in China and the United States." Zou Xianyu said that the Groop team from Northern Europe has also used artificial intelligence to divide the initial diabetes into distinct subgroups. And to prove that the subgroups have different clinical manifestations and their corresponding treatment methods. However, this study is only for the Nordic population, and it is currently unknown whether it is suitable for other populations. The Ji Linong team included 2,316 cases of Chinese people with initial diabetes and 815 cases of Americans in the study. The age, body mass index (BMI), blood glucose level, and insulin sensitivity index (HOMAIR) were used in the clustering method of artificial intelligence. Five dimensions, including the islet cell function index (HOMAB), divide the two populations into four subtypes. The data analysis showed that the main clinical features of the four subtypes were basically consistent in China and the United States, and coincided with the subtype characteristics of the Nordic population, confirming that the theory of precise typing of diabetes remains between different populations and races. stable. Equipment Cover,Surgical Equipment Cover,Medical Equipment Cover,Disposable Medical Equipment Cover ShaoXing SurgeCare Medical Products Co., Ltd. , https://www.sxsurgecaremedical.com
Artificial intelligence helps diagnose the classification of diabetic patients