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作 者:陈琳琳 马小军[1] 陈珊珊 CHEN Lin-lin;MA Xiao-jun;CHEN Shan-shan(Sihaiqiao Outpatient Department,Chinese PLA General Hospital Western Beijing Branch,Beijing 100142,China;Big Data and Artificial Intelligence Laboratory,Industrial and Commercial Bank of China,Shanghai 201206,China)
机构地区:[1]解放军总医院京西医疗区四海桥门诊部,北京100142 [2]中国工商银行大数据与人工智能实验室,上海201206
出 处:《中华医学图书情报杂志》2021年第3期49-53,共5页Chinese Journal of Medical Library and Information Science
摘 要:提出了一种基于迁移学习的2型糖尿病风险预测方案,使用2型糖尿病发病相关危险因素作为原始糖尿病预测建模特征,对原有的糖尿病风险预测模型进行了优化,帮助医疗欠发达地区通过该模型实现对2型糖尿病的有效监测和防护。A transfer learning-based risk prediction plan for type 2 diabetes mellitus was proposed and the risk factors for type 2 diabetes mellitus were used as the characteristics of primary diabetes mellitus prediction modeling to optimize its original risk prediction model,which is beneficial to the effective monitoring and prevention of type 2 diabetes mellitus in underdeveloped areas.
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