神经网络和因子分解机的儿童脓毒症辅助诊断系统

发布时间：2018-10-30 15:03

【摘要】：脓毒症是感染引起的全身炎症反应综合征。是患者死亡的主要原因之一。由于严重脓毒症和脓毒性休克来势凶猛,病情发展迅速,给临床救治工作带来极大挑战。因此,尽早明确脓毒症的诊断,及时治疗是改善其预后、降低病死率之关键。针对当前脓毒症临床诊断困难和对医生的临床经验有着较高要求,以及隐藏在大量电子病历中的信息没有得到充分利用的现状,依据脓毒症临床数据特点提出了一种基于神经网络和因子分解机的数据挖掘算法结构,能够充分利用电子病历信息,辅助医生进行临床诊疗服务,快速准确地进行脓毒症诊断。
[Abstract]:Sepsis is a systemic inflammatory response syndrome caused by infection. Is one of the main causes of death. Because of severe sepsis and septic shock, the disease develops rapidly, which brings great challenge to clinical treatment. Therefore, early diagnosis of sepsis and timely treatment are the key to improve prognosis and reduce mortality. In view of the current difficulties in clinical diagnosis of sepsis and the high demand for doctors' clinical experience, as well as the fact that the information hidden in a large number of electronic medical records has not been fully utilized, According to the characteristics of clinical data of sepsis, a data mining algorithm structure based on neural network and factor decomposition machine is proposed, which can make full use of electronic medical record information, assist doctors in clinical diagnosis and treatment, and make rapid and accurate diagnosis of sepsis.
【作者单位】： 中国科学院上海技术物理研究所红外探测与成像技术重点实验室;中国科学院大学;上海科技大学;上海交通大学医学院附属上海儿童医学中心PICU;
【分类号】：R720.597;TP183
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本文编号：2300334