2018年论坛学术报告

[数学论坛]GRAM:Graph-based Attention Model for Healthcare Representation Learning
发布日期:2018-06-04  浏览量:

报告题目GRAM:Graph-based Attention Model for Healthcare Representation Learning

报告人:Professor Jimeng Sun

报告人单位:佐治亚理工学院

报告时间:2018.06.07   1430-1530

报告地点:老主楼321学术交流厅

摘要:Deep learning methods exhibit promising performance for predictive modeling in healthcare, but two important challenges remain: -Data insufficiency:Often in healthcare predictive modeling, the sample size is insufficient for deep learning methods to achieve satisfactory results. -Interpretation:The representations learned by deep learning methods should align with medical knowledge. To address these challenges, we propose a GRaph-based Attention Model, GRAM that supplements electronic health records (EHR) with hierarchical information inherent to medical ontologies. Based on the data volume and the ontology structure, GRAM represents a medical concept as a combination of its ancestors in the ontology via an attention mechanism. We compared predictive performance (i.e. accuracy, data needs, interpretability) of GRAM to various methods including the recurrent neural network (RNN) in two sequential diagnoses prediction tasks and one heart failure prediction task. Compared to the basic RNN, GRAM achieved 10% higher accuracy for predicting diseases rarely observed in the training data and 3% improved area under the ROC curve for predicting heart failure using an order of magnitude less training data. Additionally, unlike other methods, the medical concept representations learned by GRAM are well aligned with the medical ontology. Finally, GRAM exhibits intuitive attention behaviors by adaptively generalizing to higher level concepts when facing data insufficiency at the lower level concepts.

报告人简介:孙冀萌佐治亚理工学院计算机学院的副教授,在他加入佐治亚理工之前,他是IBM TJ Watson研究中心的研究员。他的研究兴趣主要集中在医疗分析和数据挖掘,尤其对设计张量分解,深度学习方法以及大规模预测建模系统感兴趣。

他已经发表了120篇学术论文,申请专利20余项(获批5)。他获得了SDM/IBM 2017年早期职业研究奖,ICDM 2008年最佳研究论文奖,SDM 2007年最佳研究论文奖,2008KDD论文亚军奖。孙博士2002年和2003年,分别在香港科技大学的计算机科学中获得理学学士学位和理学硕士学位。2006年和2007年他在卡内基梅隆大学获得计算机科学的科学硕士和博士学位。

 

邀请人:王海辉

     

 

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