186 citations · 271 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
Towards Semantic Big Graph Analytics for Cross-Domain Knowledge Discovery
Feichen Shen
In recent years, the size of big linked data has grown rapidly and this number is still rising. Big linked data and knowledge bases come from different domains such as life science…
CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model
Sijia Liu, Yanshan Wang, Andrew Wen +6
Background: Widespread adoption of electronic health records (EHRs) has enabled secondary use of EHR data for clinical research and healthcare delivery. Natural language processing…
MedSTS: A Resource for Clinical Semantic Textual Similarity
Yanshan Wang, Naveed Afzal, Sunyang Fu +4
The wide adoption of electronic health records (EHRs) has enabled a wide range of applications leveraging EHR data. However, the meaningful use of EHR data largely depends on our a…
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction
Yanshan Wang, Sunghwan Sohn, Sijia Liu +5
Objective: To automatically create large labeled training datasets and reduce the efforts of feature engineering for training accurate machine learning models for clinical informat…
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes
Feichen Shen, David W Larson, James M. Naessens +3
Postsurgical complications (PSCs) are known as a deviation from the normal postsurgical course and categorized by severity and treatment requirements. Surgical site infection (SSI)…
MedTQ: Dynamic Topic Discovery and Query Generation for Medical Ontologies
Feichen Shen, Yugyung Lee
Biomedical ontology refers to a shared conceptualization for a biomedical domain of interest that has vastly improved data management and data sharing through the open data movemen…
A Comparison of Word Embeddings for the Biomedical Natural Language Processing
Yanshan Wang, Sijia Liu, Naveed Afzal +5
Word embeddings have been widely used in biomedical Natural Language Processing (NLP) applications as they provide vector representations of words capturing the semantic properties…