Search Results for author: Yiqing Zhao

Found 5 papers, 1 papers with code

Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records

no code implementations31 Oct 2021 Yiqing Zhao, Yuan Luo

Delirium is a common acute onset brain dysfunction in the emergency setting and is associated with higher mortality.

Feature Importance

Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features

no code implementations14 Jan 2021 David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen

We applied and compared eight GNN models including AGNN, ChebNet, GAT, GCN, GIN, GraphSAGE, SGC, and TAGCN on the Mayo Clinic cancer disease dataset and assessedtheir performance as well as compared them with each other and with more conventional machinelearning models such as decision tree, gradient boosting, multi-layer perceptron, naive bayes, andrandom forest which we used as the baselines.

Clinical Concept Extraction: a Methodology Review

no code implementations24 Oct 2019 Sunyang Fu, David Chen, Huan He, Sijia Liu, Sungrim Moon, Kevin J Peterson, Feichen Shen, Li-Wei Wang, Yanshan Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu

Background Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinical information from text for a wide range of applications ranging from clinical decision support to care quality improvement.

Clinical Concept Extraction Decision Making

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