Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
Melody Greer
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
Biomedical Informatics, College of Medicine
4 pubs
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Melody Greer, Associate Professor of Biomedical Informatics at the University of Arkansas for Medical Sciences, focuses on the application of algorithms and data analysis in healthcare. Her research has investigated methods to preprocess healthcare data to address bias, as demonstrated in her 2022 publication. Greer has also explored the use of machine learning to identify patients at risk for conditions like hyperparathyroidism, as detailed in her 2021 work. Her scholarship extends to public health topics, including studies on COVID-19's connection with health literacy in rural areas and parental vaccine hesitancy, published in 2021 and 2023, respectively. She has also contributed to scoping reviews on clinical data warehousing. Greer collaborates with researchers at the University of Arkansas for Medical Sciences, including Jeannette Y. Lee, Songthip Ounpraseuth, Zain Alamarat, and Paul M. Darden.
Metrics
- Publications: 4
Positions
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Associate Professor publications 2026University of Arkansas for Medical Sciences Biomedical Informatics, College of Medicine Institutional directory
Selected Publications
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A Methodological Comparison of Three Landmarking Approaches for Time-to-Event Prediction: Predicting Diagnosed Cannabis Use Disorder Among Medical Cannabis Cardholders in Arkansas (2026)
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Study protocol for a pilot evaluation of Talk With Me Baby (TWMB) for Well-Child Care: A primary care-integrated language promotion intervention in rural and underserved clinics (2026)
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MSR157 COMPARISON OF SAMPLING STRATEGIES TO ADDRESS SEVERE DATA IMBALANCE AND COMPUTATIONAL BENCHMARKING FOR TIME-TO-EVENT PREDICTIVE MODEL DEVELOPMENT ACROSS LOCAL AND HIGH-PERFORMANCE COMPUTING ENVIRONMENTS: PREDICTION OF ALCOHOL USE DISORDER AND OPIOID USE DISORDER AMONG ARKANSAS MEDICAL MARIJUANA CARDHOLDERS (2026)
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Mobile Vaccine Uptake (MoVeUP): a randomized effectiveness trial for a vaccine communication app (2026)
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An instrument for measuring the influence of nursing care on the length of stay in heart failure hospitalizations of African Americans (2026)
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Study protocol for a pilot study for Remote ADHD Monitoring Program (RAMP) for children in rural areas (2025)
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Impact of micro- and nanoplastics exposure on human health: focus on neurological effects from ingestion (2025)
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MSR68 Development of a Discrete-Time-Updating Algorithm to Predict Cannabis Use Disorder Among Arkansas Medical Marijuana Cardholders (2025)
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MSR2 Developing a Feature Selection Workflow for Variable-Rich Data: A Case Study Utilizing Claims Data to Build Classifiers for the Prediction of Opioid Use Disorder Among Persons Authorized to Purchase Medical Cannabis (2025)
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MSR34 Development of a Novel Approach to Improve Binary Classification Prediction Tasks When Encountering Time-To-Event Data: Performance Comparison of Three Alternative Approaches To Predict Stimulant Use Disorder Among Persons Authorized To Purchase Medical Marijuana (2025)
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Data-Related Processes and Challenges at Level I-IV Trauma Centers in Arkansas: Results of a Mixed-Methods Case Study. (2025)PubMed OpenAlex
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Predictive Modeling of Hyperparathyroidism in Patients With Benign Thyroid Nodules: A Cohort Study Using the Vizient Database (2025)
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Detecting the Potential for Bias in Healthcare Data (2025)
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Disparities in Colorectal Cancer Incidence and Mortality Rates in Arkansas and Associated Risk Factors. (2024)PubMed OpenAlex
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In-Hospital Mortality by Race and Ethnicity Among Hospitalized COVID-19 Patients Using Data From the US National COVID Cohort Collaborative (2024)
Grants & Funding
As listed on this researcher's institutional profile.
- Robust and Trusted Data Analytics: From Smart Curation to Socially Aware Decision Making, Smart curation and deep learning-based enhancement of social risk data National Science Foundation via Arkansas Economic Development Commission Principal Investigator
- Data Coordinating and Operations Center for the ECHO IDeA States Pediatric Clinical Trials Network NIH Co-Investigator
- Health Sciences Innovation and Entrepreneurship Program Co-Director National Center For Advancing Translational Sciences Other
- DART GRA -Ussery year 5 National Science Foundation via Arkansas Economic Development Commission Principal Investigator
- EPSCoR - CASE Summer National Science Foundation via Arkansas Economic Development Commission Principal Investigator
- An Assessment of Record Linkage Error on Safety Events UAMS Medical Research Endowment Award Principal Investigator
- Assessing the Quality of Electronic Health Record Data and Participant-reported Dat Patient-Centered Outcomes Research Institute Co-Investigator
- Health Sciences Innovation and Entrepreneurship Program National Center For Advancing Translational Sciences (NCATS) Pass Through Other
Collaboration Network
Top Collaborators
Sudeepa Bhattacharyya
University of Missouri–Kansas City
14 shared publications
In database
- Impact of micro- and nanoplastics exposure on human health: focus on neurological effects from ingestion
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Social Determinants of Health Data Quality at Different Levels of Geographic Detail
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
Showing 5 of 14 shared publications
Maryam Y. Garza
The University of Texas at San Antonio Health Science Center (US)
11 shared publications
- COVID-19 Vaccine Hesitancy Among Parents: A Qualitative Study
- Social Determinants of Health Data Quality at Different Levels of Geographic Detail
- Vitamin D Oral Replacement in Children With Obesity Related Asthma: VDORA1 Randomized Clinical Trial
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
- Social Determinants of Health Data Quality at Different Levels of Geographic Detail
Showing 5 of 11 shared publications
Meredith Nahm Zozus
The University of Texas at San Antonio Health Science Center (US)
10 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- Rules Based Data Quality Assessment on Claims Database
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
Showing 5 of 10 shared publications
Fred Prior
University of Arkansas for Medical Sciences
10 shared publications
In database
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- Vitamin D Oral Replacement in Children With Obesity Related Asthma: VDORA1 Randomized Clinical Trial
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
Showing 5 of 10 shared publications
Mahanazuddin Syed
University of Arkansas for Medical Sciences (US)
7 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
- Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review
Showing 5 of 7 shared publications
Shorabuddin Syed
University of Arkansas for Medical Sciences (US)
7 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
- Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review
Showing 5 of 7 shared publications
Emel Seker
University of Arkansas for Medical Sciences
7 shared publications
In database
- Preprocessing to Address Bias in Healthcare Data
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
- Protocol for the Evaluation of Data-Related Processes and Challenges at Level 1‒4 Trauma Centers in Arkansas: A Mixed-Methods Case Study
- Detecting the Potential for Bias in Healthcare Data
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
Showing 5 of 7 shared publications
Bradley C. Martin
University of Arkansas for Medical Sciences
7 shared publications
In database
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized COVID-19 Patients Using Data From the US National COVID Cohort Collaborative
- In-Hospital Mortality by Race and Ethnicity Among Hospitalized Covid-19 Patients Using Data from the Us National Covid Cohort Collaborative
- MSR34 Development of a Novel Approach to Improve Binary Classification Prediction Tasks When Encountering Time-To-Event Data: Performance Comparison of Three Alternative Approaches To Predict Stimulant Use Disorder Among Persons Authorized To Purchase Medical Marijuana
- MSR2 Developing a Feature Selection Workflow for Variable-Rich Data: A Case Study Utilizing Claims Data to Build Classifiers for the Prediction of Opioid Use Disorder Among Persons Authorized to Purchase Medical Cannabis
- MSR68 Development of a Discrete-Time-Updating Algorithm to Predict Cannabis Use Disorder Among Arkansas Medical Marijuana Cardholders
Showing 5 of 7 shared publications
Kevin Wayne Sexton
Vanderbilt University Medical Center
5 shared publications
In database
- COVID-19 Is Connected with Lower Health Literacy in Rural Areas
- DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool
- DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes
- Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review
- An instrument for measuring the influence of nursing care on the length of stay in heart failure hospitalizations of African Americans
Horacio Gómez-Acevedo
University of Arkansas for Medical Sciences
5 shared publications
In database
- MSR34 Development of a Novel Approach to Improve Binary Classification Prediction Tasks When Encountering Time-To-Event Data: Performance Comparison of Three Alternative Approaches To Predict Stimulant Use Disorder Among Persons Authorized To Purchase Medical Marijuana
- MSR2 Developing a Feature Selection Workflow for Variable-Rich Data: A Case Study Utilizing Claims Data to Build Classifiers for the Prediction of Opioid Use Disorder Among Persons Authorized to Purchase Medical Cannabis
- MSR68 Development of a Discrete-Time-Updating Algorithm to Predict Cannabis Use Disorder Among Arkansas Medical Marijuana Cardholders
- MSR157 COMPARISON OF SAMPLING STRATEGIES TO ADDRESS SEVERE DATA IMBALANCE AND COMPUTATIONAL BENCHMARKING FOR TIME-TO-EVENT PREDICTIVE MODEL DEVELOPMENT ACROSS LOCAL AND HIGH-PERFORMANCE COMPUTING ENVIRONMENTS: PREDICTION OF ALCOHOL USE DISORDER AND OPIOID USE DISORDER AMONG ARKANSAS MEDICAL MARIJUANA CARDHOLDERS
- A Methodological Comparison of Three Landmarking Approaches for Time-to-Event Prediction: Predicting Diagnosed Cannabis Use Disorder Among Medical Cannabis Cardholders in Arkansas
Hafsa Bareen Syeda
University of Arkansas for Medical Sciences (US)
4 shared publications
- The h-ANN Model: Comprehensive Colonoscopy Concept Compilation using Combined Contextual Embeddings
- Machine Learning Approach to Optimize Sedation Use in Endoscopic Procedures
- Consolidated EHR Workflow for Endoscopy Quality Reporting
- TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation
Jessica N. Snowden
University of Arkansas for Medical Sciences
4 shared publications
In database
- COVID-19 Vaccine Hesitancy Among Parents: A Qualitative Study
- Vitamin D Oral Replacement in Children With Obesity Related Asthma: VDORA1 Randomized Clinical Trial
- Informatics infrastructure in a rural pediatric clinical trials network: Matching specific clinical research needs with best practices and industry guidelines
- Informatics Infrastructure in a Rural Pediatric Clinical Trials Network: Matching Specific Clinical Research Needs with Best Practices and Industry Guidelines
Tremaine Brueon Williams
University of Arkansas for Medical Sciences
4 shared publications
In database
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
- Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
- Data-Related Processes and Challenges at Level I-IV Trauma Centers in Arkansas: Results of a Mixed-Methods Case Study.
- An instrument for measuring the influence of nursing care on the length of stay in heart failure hospitalizations of African Americans
Allen M. Smith
University of Arkansas Medical Center
4 shared publications
In database
- MSR34 Development of a Novel Approach to Improve Binary Classification Prediction Tasks When Encountering Time-To-Event Data: Performance Comparison of Three Alternative Approaches To Predict Stimulant Use Disorder Among Persons Authorized To Purchase Medical Marijuana
- MSR2 Developing a Feature Selection Workflow for Variable-Rich Data: A Case Study Utilizing Claims Data to Build Classifiers for the Prediction of Opioid Use Disorder Among Persons Authorized to Purchase Medical Cannabis
- MSR68 Development of a Discrete-Time-Updating Algorithm to Predict Cannabis Use Disorder Among Arkansas Medical Marijuana Cardholders
- MSR157 COMPARISON OF SAMPLING STRATEGIES TO ADDRESS SEVERE DATA IMBALANCE AND COMPUTATIONAL BENCHMARKING FOR TIME-TO-EVENT PREDICTIVE MODEL DEVELOPMENT ACROSS LOCAL AND HIGH-PERFORMANCE COMPUTING ENVIRONMENTS: PREDICTION OF ALCOHOL USE DISORDER AND OPIOID USE DISORDER AMONG ARKANSAS MEDICAL MARIJUANA CARDHOLDERS
Corey J. Hayes
University of Arkansas for Medical Sciences
4 shared publications
In database
- MSR34 Development of a Novel Approach to Improve Binary Classification Prediction Tasks When Encountering Time-To-Event Data: Performance Comparison of Three Alternative Approaches To Predict Stimulant Use Disorder Among Persons Authorized To Purchase Medical Marijuana
- MSR2 Developing a Feature Selection Workflow for Variable-Rich Data: A Case Study Utilizing Claims Data to Build Classifiers for the Prediction of Opioid Use Disorder Among Persons Authorized to Purchase Medical Cannabis
- MSR68 Development of a Discrete-Time-Updating Algorithm to Predict Cannabis Use Disorder Among Arkansas Medical Marijuana Cardholders
- MSR157 COMPARISON OF SAMPLING STRATEGIES TO ADDRESS SEVERE DATA IMBALANCE AND COMPUTATIONAL BENCHMARKING FOR TIME-TO-EVENT PREDICTIVE MODEL DEVELOPMENT ACROSS LOCAL AND HIGH-PERFORMANCE COMPUTING ENVIRONMENTS: PREDICTION OF ALCOHOL USE DISORDER AND OPIOID USE DISORDER AMONG ARKANSAS MEDICAL MARIJUANA CARDHOLDERS
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