338 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Texas MD Anderson Cancer CenterUS17 papers
- The University of Texas Health Science CenterUS15 papers
- Yale UniversityUS13 papers
- Rice UniversityUS12 papers
- Fudan UniversityCN7 papers
- Harvard UniversityUS7 papers
- Mayo Clinic in FloridaUS7 papers
- National Institutes of HealthUS6 papers
- University of PennsylvaniaUS6 papers
- Texas A&M UniversityUS5 papers
- Baylor College of MedicineUS4 papers
- Cornell UniversityUS4 papers
18 papers · 1 filter
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data
Yi Deng, Xiaoqian Jiang, Qi Long
Distributed health data networks that use information from multiple sources have drawn substantial interest in recent years. However, missing data are prevalent in such networks an…
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si, Jingcheng Du, Zhao Li +5
Patient representation learning refers to learning a dense mathematical representation of a patient that encodes meaningful information from Electronic Health Records (EHRs). This…
Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping
Surabhi Datta, Shekhar Khanpara, Roy F. Riascos +1
Classifying fine-grained ischemic stroke phenotypes relies on identifying important clinical information. Radiology reports provide relevant information with context to determine s…
Extracting Concepts for Precision Oncology from the Biomedical Literature
Nicholas Greenspan, Yuqi Si, Kirk Roberts
This paper describes an initial dataset and automatic natural language processing (NLP) method for extracting concepts related to precision oncology from biomedical research articl…
RadLex Normalization in Radiology Reports
Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts
Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies. However, limited research has focused on stand…
Patient Cohort Retrieval using Transformer Language Models
Sarvesh Soni, Kirk Roberts
We apply deep learning-based language models to the task of patient cohort retrieval (CR) with the aim to assess their efficacy. The task of CR requires the extraction of relevant…
Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence
Kanglin Hsieh, Yinyin Wang, Luyao Chen +5
Amid the pandemic of 2019 novel coronavirus disease (COVID-19) infected by SARS-CoV-2, a vast amount of drug research for prevention and treatment has been quickly conducted, but t…
Regression with a right-censored predictor, using inverse probability weighting methods
Roland A. Matsouaka, Folefac D. Atem
In a longitudinal study, measures of key variables might be incomplete or partially recorded due to drop-out, loss to follow-up, or early termination of the study occurring before…
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model
Jingqi Wang, Noor Abu-el-rub, Josh Gray +8
The COVID-19 pandemic swept across the world rapidly, infecting millions of people. An efficient tool that can accurately recognize important clinical concepts of COVID-19 from fre…
An improved sample size calculation method for score tests in generalized linear models
Yongqiang Tang, Liang Zhu, Jiezhun Gu
Self and Mauritsen (1988) developed a sample size determination procedure for score tests in generalized linear models under contiguous alternatives. Its performance may deteriorat…
Mathematical Modeling of Business Reopening when Facing SARS-CoV-2 Pandemic: Protection, Cost and Risk
Hongyu Miao, Qianmiao Gao, Han Feng +11
The sudden onset of the coronavirus (SARS-CoV-2) pandemic has resulted in tremendous loss of human life and economy in more than 210 countries and territories around the world. Whi…
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks
Jeong Hwan Kook, Kelly A. Vaughn, Dana M. DeMaster +2
In this paper we propose BVAR-connect, a variational inference approach to a Bayesian multi-subject vector autoregressive (VAR) model for inference on effective brain connectivity…
On the Fundamental Limits of Coded Caching Systems with Restricted Demand Types
Shuo Shao, Jesús Gómez-Vilardebó, Kai Zhang +1
Caching is a technique to reduce the communication load in peak hours by prefetching contents during off-peak hours. An information-theoretic framework for coded caching was introd…
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
Ellen Voorhees, Tasmeer Alam, Steven Bedrick +6
TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pand…
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction
Hong Guan, Jianfu Li, Hua Xu +1
Background: Identifying relationships between clinical events and temporal expressions is a key challenge in meaningfully analyzing clinical text for use in advanced AI application…
Quantile regression on inactivity time
Lauren C. Balmert, Ruosha Li, Limin Peng +1
The inactivity time, or lost lifespan specifically for mortality data, concerns time from occurrence of an event of interest to the current time point and has recently emerged as a…
Multiplicity for a Group Sequential Trial with Biomarker Subpopulations
Ting-Yu Chen, Jing Zhao, Linda Sun +1
Biomarker subpopulations have become increasingly important for drug development in targeted therapies. The use of biomarkers has the potential to facilitate more effective outcome…
Examining Potential Usability and Health Beliefs Among Young Adults Using a Conversational Agent for HPV Vaccine Counseling
Muhammad Amith, Rebecca Lin, Rachel Cunningham +6
The human papillomavirus (HPV) vaccine is the most effective way to prevent HPV-related cancers. Integrating provider vaccine counseling is crucial to improving HPV vaccine complet…