186 citations · 288 across the 17 of their papers we have counts for
17 papers
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles
Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz +10
Our objective in this study is to investigate the behavior of Boolean operators on combining annotation output from multiple Natural Language Processing (NLP) systems across multip…
CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records
Sicheng Zhou, Liwei Wang, Nan Wang +2
Accurate extraction of breast cancer patients' phenotypes is important for clinical decision support and clinical research. Current models do not take full advantage of cancer doma…
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…
Digital pathology-based study of cell- and tissue-level morphologic features in serous borderline ovarian tumor and high-grade serous ovarian cancer
Jun Jiang, Burak Tekin, Ruifeng Guo +3
Serous borderline ovarian tumor (SBOT) and high-grade serous ovarian cancer (HGSOC) are two distinct subtypes of epithelial ovarian tumors, with markedly different biologic backgro…
Real-World Data Analysis of Implantable Cardioverter Defibrillator (ICD) in Patients with Hypertrophic Cardiomyopathy (HCM)
Sungrim Moon, Andrew Wen, Christopher G. Scott +7
Background: One of the common causes of sudden cardiac death (SCD) in young people is hypertrophic cardiomyopathy (HCM) and the primary prevention of SCD is with an implantable car…
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…
How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease?
Krishna B. Soundararajan, Sunyang Fu, Luke A. Carlson +4
Alzheimer's Disease (AD) is the most common type of dementia, comprising 60-80% of cases. There were an estimated 5.8 million Americans living with Alzheimer's dementia in 2019, an…
Cross-lingual Data Transformation and Combination for Text Classification
Jun Jiang, Shumao Pang, Xia Zhao +4
Text classification is a fundamental task for text data mining. In order to train a generalizable model, a large volume of text must be collected. To address data insufficiency, cr…
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…
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)…
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…
MatLM: a Matrix Formulation for Probabilistic Language Models
Yanshan Wang, Hongfang Liu
Probabilistic language models are widely used in Information Retrieval (IR) to rank documents by the probability that they generate the query. However, the implementation of the pr…
Generalized Ensemble Model for Document Ranking in Information Retrieval
Yanshan Wang, In-Chan Choi, Hongfang Liu
A generalized ensemble model (gEnM) for document ranking is proposed in this paper. The gEnM linearly combines basis document retrieval models and tries to retrieve relevant docume…