most citedClinical Concept Extraction: a Methodology Review

186 citations · 194 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021

Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records

Yiqing Zhao, Yuan Luo

Delirium is a common acute onset brain dysfunction in the emergency setting and is associated with higher mortality. It is difficult to detect and monitor since its presentations a…

cs.LG2021

Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping

David Oniani, Chen Wang, Yiqing Zhao +3

Cancer is responsible for millions of deaths worldwide every year. Although significant progress has been achieved in cancer medicine, many issues remain to be addressed for improv…

cs.LG2021★ 2 cited

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

David Oniani, Chen Wang, Yiqing Zhao +3

Cancer is responsible for millions of deaths worldwide every year. Although significant progress hasbeen achieved in cancer medicine, many issues remain to be addressed for improvi…

cs.IR2019★ 186 cited

Clinical Concept Extraction: a Methodology Review

Sunyang Fu, David Chen, Huan He +10

Background Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinica…

stat.AP2019★ 6 cited

Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records

Yanshan Wang, Yiqing Zhao, Terry M. Therneau +6

Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learnin…