Greg M. Silverman

According to our database, Greg M. Silverman authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition.

Huixue Zhou, Robin Austin, Sheng-Chieh Lu, Greg M. Silverman, Yuqi Zhou, Halil Kilicoglu, Hua Xu, Rui Zhang

J. Am. Medical Informatics Assoc., January, 2024

2023

Extracting Complementary and Integrative Health Approaches in Electronic Health Records.

Huixue Zhou, Greg M. Silverman, Zhongran Niu, Jenzi Silverman, Roni Evans, Robin Austin, Rui Zhang

J. Heal. Informatics Res., September, 2023

A Symptom-Based Natural Language Processing Surveillance Pipeline for Post-COVID-19 Patients.

Greg M. Silverman, Geetanjali Rajamani, Nicholas E. Ingraham, James K. Glover, Himanshu S. Sahoo, Michael Usher, Rui Zhang, Farha Ikramuddin, Tanya E. Melnik, Genevieve B. Melton, Christopher J. Tignanelli

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

Towards Fairness and Interpretability: Clinical Decision Support for Acute Coronary Syndrome.

Himanshu S. Sahoo, Nicholas Ingraham, Greg M. Silverman, John Sartori

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Annotating Music Therapy, Chiropractic and Aquatic Exercise Using Electronic Health Record.

Huixue Zhou, Greg M. Silverman, Zhongran Niu, Jenzi Silverman, Rui Zhang, Roni Evans, Robin Austin

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

MTAP - A Distributed Framework for NLP Pipelines.

Benjamin C. Knoll, Reed McEwan, Raymond L. Finzel, Greg M. Silverman, Rui Zhang, Serguei V. S. Pakhomov, Genevieve B. Melton

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models.

Greg M. Silverman, Himanshu S. Sahoo, Nicholas Ingraham, Monica Lupei, Michael A. Puskarich, Michael Usher, James Dries, Raymond L. Finzel, Eric Murray, John Sartori, György J. Simon, Rui Zhang, Genevieve B. Melton, Christopher J. Tignanelli, Serguei V. S. Pakhomov

J. Artif. Intell. Res., 2021

An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles.

Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei V. S. Pakhomov

CoRR, 2021

Identifying Mentions of Life Stressors in Clinical Notes.

Shreya Datar, Elizabeth A. Lindemann, Greg M. Silverman, Reed McEwan, Raymond L. Finzel, Michael E. Kotlyar, Genevieve B. Melton, Serguei V. S. Pakhomov

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT.

Anusha Bompelli, Greg M. Silverman, Raymond L. Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov, Rui Zhang

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Named Entity Recognition in Prehospital Trauma Care.

Greg M. Silverman, Elizabeth A. Lindemann, Geetanjali Rajamani, Raymond L. Finzel, Reed McEwan, Benjamin C. Knoll, Serguei Pakhomov, Genevieve B. Melton, Christopher J. Tignanelli

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019