Jiang Bian

Orcid: 0000-0002-2238-5429

Affiliations:
  • University of Florida, Department of Health Outcomes and Biomedical Informatics, Gainesville, FL, USA
  • University of Arkansas for Medical Sciences, Division of Biomedical Informatics, Little Rock, AR, USA (former)


According to our database1, Jiang Bian authored at least 188 papers between 2007 and 2024.

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Bibliography

2024
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization.
Informatics, 2024

Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning.
CoRR, 2024

Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure.
CoRR, 2024

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.
CoRR, 2024

Me LLaMA: Foundation Large Language Models for Medical Applications.
CoRR, 2024

2023
Application of a practice-based approach in variable selection for a prediction model development study of hospital-induced delirium.
BMC Medical Informatics Decis. Mak., December, 2023

The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records.
J. Am. Medical Informatics Assoc., December, 2023

Leveraging natural language processing to identify eligible lung cancer screening patients with the electronic health record.
Int. J. Medical Informatics, September, 2023

Clinical concept and relation extraction using prompt-based machine reading comprehension.
J. Am. Medical Informatics Assoc., August, 2023

Contextualized medication information extraction using Transformer-based deep learning architectures.
J. Biomed. Informatics, June, 2023

Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network.
J. Am. Medical Informatics Assoc., February, 2023

A study of generative large language model for medical research and healthcare.
npj Digit. Medicine, 2023

Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods.
Informatics, 2023

Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach.
Informatics, 2023

Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.
Int. J. Medical Informatics, 2023

Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need.
CoRR, 2023

On the Impact of Cross-Domain Data on German Language Models.
CoRR, 2023

Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction.
CoRR, 2023

Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D).
CoRR, 2023

Apple Vision Pro for Healthcare: "The Ultimate Display"? - Entering the Wonderland of Precision.
CoRR, 2023

Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI.
CoRR, 2023

A Study of Generative Large Language Model for Medical Research and Healthcare.
CoRR, 2023

Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing.
CoRR, 2023

Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension.
CoRR, 2023

Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures.
CoRR, 2023

DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data.
CoRR, 2023

Fair Graph Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Optimizing Dynamic Antibiotic Treatment Strategies against Invasive Methicillin-Resistant Staphylococcus Aureus Infections using Causal Survival Forests and G-Formula on Statewide Electronic Health Record Data.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

On the Impact of Cross-Domain Data on German Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

HSELDA: Heterogeneous Sub-Graph Learning for lncRNA-Disease Associations Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A large language model for electronic health records.
npj Digit. Medicine, 2022

A conversational agent system for dietary supplements use.
BMC Medical Informatics Decis. Mak., 2022

Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks.
J. Biomed. Informatics, 2022

The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope.
J. Am. Medical Informatics Assoc., 2022

Biases in using social media data for public health surveillance: A scoping review.
Int. J. Medical Informatics, 2022

A scoping review of semantic integration of health data and information.
Int. J. Medical Informatics, 2022

SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies.
CoRR, 2022

Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data.
CoRR, 2022

Joint Application of the Target Trial Causal Framework and Machine Learning Modeling to Optimize Antibiotic Therapy: Use Case on Acute Bacterial Skin and Skin Structure Infections due to Methicillin-resistant Staphylococcus aureus.
CoRR, 2022

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records.
CoRR, 2022

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records.
CoRR, 2022

Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions.
Artif. Intell. Medicine, 2022

Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Ontologies in the Behavioral Sciences: Accelerating Research and the Accessibility and Use of Knowledge.
Proceedings of the AMIA 2022, 2022

DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation.
Proceedings of the AMIA 2022, 2022

Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials.
Proceedings of the AMIA 2022, 2022

2021
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease.
npj Digit. Medicine, 2021

Federated Learning for Healthcare Informatics.
J. Heal. Informatics Res., 2021

Bagged random causal networks for interventional queries on observational biomedical datasets.
J. Biomed. Informatics, 2021

Extracting social determinants of health from electronic health records using natural language processing: a systematic review.
J. Am. Medical Informatics Assoc., 2021

Deep propensity network using a sparse autoencoder for estimation of treatment effects.
J. Am. Medical Informatics Assoc., 2021

The application of artificial intelligence and data integration in COVID-19 studies: a scoping review.
J. Am. Medical Informatics Assoc., 2021

Challenges in replicating secondary analysis of electronic health records data with multiple computable phenotypes: A case study on methicillin-resistant <i>Staphylococcus aureus</i> bacteremia infections.
Int. J. Medical Informatics, 2021

Clinical Relation Extraction Using Transformer-based Models.
CoRR, 2021

Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter.
CoRR, 2021

Applications of artificial intelligence in drug development using real-world data.
CoRR, 2021

Evaluation of clustering and topic modeling methods over health-related tweets and emails.
Artif. Intell. Medicine, 2021

ReLF: Scalable Remote Live Forensics for Android.
Proceedings of the 20th IEEE International Conference on Trust, 2021

KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset?
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021

Transformer-based named entity recognition for parsing clinical trial eligibility criteria.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Developing an Ontology for Social and Behavioral Determinants of Health.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Validation of Real-World Data-based Endpoint Measures of Cancer Treatment Outcomes.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
L-PowerGraph: a lightweight distributed graph-parallel communication mechanism.
J. Supercomput., 2020

Causal inference and counterfactual prediction in machine learning for actionable healthcare.
Nat. Mach. Intell., 2020

An ontology-based documentation of data discovery and integration process in cancer outcomes research.
BMC Medical Informatics Decis. Mak., 2020

Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019).
BMC Medical Informatics Decis. Mak., 2020

User-centered design of a web-based crowdsourcing-integrated semantic text annotation tool for building a mental health knowledge base.
J. Biomed. Informatics, 2020

Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States.
J. Am. Medical Informatics Assoc., 2020

Clinical concept extraction using transformers.
J. Am. Medical Informatics Assoc., 2020

Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.
J. Am. Medical Informatics Assoc., 2020

iDISK: the integrated DIetary Supplements Knowledge base.
J. Am. Medical Informatics Assoc., 2020

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.
J. Am. Medical Informatics Assoc., 2020

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.
J. Am. Medical Informatics Assoc., 2020

COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes.
J. Am. Medical Informatics Assoc., 2020

Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data.
J. Am. Medical Informatics Assoc., 2020

Assessing mental health signals among sexual and gender minorities using Twitter data.
Health Informatics J., 2020

Detecting associations between dietary supplement intake and sentiments within mental disorder tweets.
Health Informatics J., 2020

Assessing the effect of data integration on predictive ability of cancer survival models.
Health Informatics J., 2020

Exploring the semantics in mental health research.
Health Informatics J., 2020

The rapid growth of intelligent systems in health and health care.
Health Informatics J., 2020

When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?
CoRR, 2020

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.
CoRR, 2020

Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Multivariate Independence Set Search via Progressive Addition for Conditional Markov Acyclic Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network.
Proceedings of the AMIA 2020, 2020

Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer's Disease and Donepezil.
Proceedings of the AMIA 2020, 2020

Leverage Real-World Longitudinal Data in Large Clinical Research Networks for Alzheimer's Disease and Related Dementia (ADRD).
Proceedings of the AMIA 2020, 2020

Assessment of Clinical Decision Support (CDS) formats for Supporting Nurses' Palliative Care Planning Decisions.
Proceedings of the AMIA 2020, 2020

Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups.
Proceedings of the AMIA 2020, 2020

2019
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media.
npj Digit. Medicine, 2019

Is it time to rethink institutional review boards for the era of big data?
Nat. Mach. Intell., 2019

A study of deep learning methods for de-identification of clinical notes in cross-institute settings.
BMC Medical Informatics Decis. Mak., 2019

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design.
BMC Medical Informatics Decis. Mak., 2019

Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018).
BMC Medical Informatics Decis. Mak., 2019

Secondary use of standardized nursing care data for advancing nursing science and practice: a systematic review.
J. Am. Medical Informatics Assoc., 2019

Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States.
CoRR, 2019

Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements.
CoRR, 2019

Aero: An Evidence-based Semantic Web Knowledge Base of Cancer Behavioral Risk Factors.
Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

Ontology for Documentation of Variable and Data Source Selection Process to Support Integrative Data Analysis in Cancer Outcomes Research.
Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

Exploring Lung Cancer Screening Discussions on Twitter.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

STAT: A Web-based Semantic Text Annotation Tool to Assist Building Mental Health Knowledge Base.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Towards an Interactive Visualization for Dietary Supplement Knowledge Graph.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Clustering and topic modeling over tweets: A comparison over a health dataset.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods.
Proceedings of the AMIA 2019, 2019

Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study.
Proceedings of the AMIA 2019, 2019

2018
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival.
BMC Medical Informatics Decis. Mak., 2018

Big data hurdles in precision medicine and precision public health.
BMC Medical Informatics Decis. Mak., 2018

OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.
BMC Medical Informatics Decis. Mak., 2018

Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017).
BMC Medical Informatics Decis. Mak., 2018

Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases.
BMC Medical Informatics Decis. Mak., 2018

Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases.
BMC Medical Informatics Decis. Mak., 2018

Development of a personalized diagnostic model for kidney stone disease tailored to acute care by integrating large clinical, demographics and laboratory data: the diagnostic acute care algorithm - kidney stones (DACA-KS).
BMC Medical Informatics Decis. Mak., 2018

A novel framework for biomedical entity sense induction.
J. Biomed. Informatics, 2018

Learning bundled care opportunities from electronic medical records.
J. Biomed. Informatics, 2018

Assessing the practice of biomedical ontology evaluation: Gaps and opportunities.
J. Biomed. Informatics, 2018

Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome.
CoRR, 2018

An Operational Deep Learning Pipeline for Classifying Life Events from Individual Tweets.
Proceedings of the Information Management and Big Data, 5th International Conference, 2018

Detecting Medications and Adverse Drug Events in Clinical Notes Using Recurrent Neural Networks.
Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, 2018

Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

Detecting Signals of Associations Between Dietary Supplement Use and Mental Disorders from Twitter.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

An inside look at the Opioid Crisis over Twitter.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials.
Proceedings of the AMIA 2018, 2018

Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition.
Proceedings of the AMIA 2018, 2018

2017
Towards a privacy preserving cohort discovery framework for clinical research networks.
J. Biomed. Informatics, 2017

Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach.
J. Biomed. Informatics, 2017

The Building Blocks of Inter-operability.
Appl. Clin. Inform., 2017

Explore Care Pathways of Colorectal Cancer Patients with Social Network Analysis.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Ontology of Cancer Related Social-Ecological Variables.
Proceedings of the 8th International Conference on Biomedical Ontology (ICBO 2017), Newcastle-upon-Tyne, United Kingdom, September 13th, 2017

Data integration through ontology-based data access to support integrative data analysis: A case study of cancer survival.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

An exploration of semantic relations in neural word embeddings using extrinsic knowledge.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Auditing the assignments of top-level semantic types in the UMLS semantic network to UMLS concepts.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A Twitter Study of the Relationship between the Geographic Variations of HPV Vaccination Rates and Online Information in the United States.
Proceedings of the AMIA 2017, 2017

Building an Obesity and Cancer Semantic Web Knowledge Base.
Proceedings of the AMIA 2017, 2017

Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network.
Proceedings of the AMIA 2017, 2017

Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.
Proceedings of the AMIA 2017, 2017

A Visual Analysis Tool of Qualitative Eligibility Criteria of Clinical Studies.
Proceedings of the AMIA 2017, 2017

2016
A Distributed Graph-Parallel Computing System with Lightweight Communication Overhead.
IEEE Trans. Big Data, 2016

An accurate and precise representation of drug ingredients.
J. Biomed. Semant., 2016

Visual programming for next-generation sequencing data analytics.
BioData Min., 2016

An Analysis of WordNet's Coverage of Gender Identity Using Twitter and The National Transgender Discrimination Survey.
Proceedings of the 8th Global WordNet Conference, 2016

Examining Healthcare Utilization Patterns of Elderly and Middle-Aged Adults in the United States.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Assessing the population representativeness of colorectal cancer treatment clinical trials.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

SEGAUTH: A segment-based approach to behavioral biometric authentication.
Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016

Towards an obesity-cancer knowledge base: Biomedical entity identification and relation detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Analysis of temporal constraints in qualitative eligibility criteria of cancer clinical studies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Assessing the comorbidity gap between clinical studies and prevalence in elderly patient populations.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

2015
Comparison of PIN- and pattern-based behavioral biometric authentication on mobile devices.
Proceedings of the 34th IEEE Military Communications Conference, 2015

CamAuth: Securing Web Authentication with Camera.
Proceedings of the 16th IEEE International Symposium on High Assurance Systems Engineering, 2015

Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms.
Proceedings of the AMIA 2015, 2015

2014
Evaluation and Analysis of Distributed Graph-Parallel Processing Frameworks.
J. Cyber Secur. Mobil., 2014

Social network analysis of biomedical research collaboration networks in a CTSA institution.
J. Biomed. Informatics, 2014

USign - A security enhanced electronic consent model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

LightGraph: Lighten Communication in Distributed Graph-Parallel Processing.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
The Jigsaw secure distributed file system.
Comput. Electr. Eng., 2013

CamTalk: A Bidirectional Light Communications Framework for Secure Communications on Smartphones.
Proceedings of the Security and Privacy in Communication Networks, 2013

SIM: A smartphone-based identity management framework and its application to Arkansas trauma image repository.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Understanding biomedicai research collaborations through social network analysis: A case study.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Dynamical System Theory for the Detection of Anomalous Behavior in Computer Programs.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Towards large-scale twitter mining for drug-related adverse events.
Proceedings of the 2012 International Workshop on Smart Health and Wellbeing, 2012

2011
A methodology for empirical analysis of brain connectivity through graph mining.
Proceedings of the IEEE International Conference on Systems, 2011

Collaborations, mergers, acquisitions, and security policy conflict analysis.
Proceedings of the 7th Cyber Security and Information Intelligence Research Workshop, 2011

2010
A Secure Distributed File System for Medical Image Archiving.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

2009
Design of a Lattice-based Access Control Scheme.
Proceedings of the IEEE International Conference on Systems, 2009

JigDFS for Implementing Secure Container Communities.
Proceedings of the IEEE International Conference on Systems, 2009

JigDFS in container communities for international cargo security.
Proceedings of the Fifth Cyber Security and Information Intelligence Research Workshop, 2009

JigDFS: A secure distributed file system.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Cyber Security, 2009

2008
Off-the-Record Secure Chat Room.
Proceedings of the WEBIST 2008, 2008

A role-based secure group communication framework.
Proceedings of the 3rd IEEE International Conference on System of Systems Engineering, 2008

2007
Off-the-Record Instant Messaging for Group Conversation.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007


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