Publications by authors named "May D Wang"

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FHIR in Focus: Enabling Biomedical Data Harmonization for Intelligent Healthcare Systems.
Andrew Hornback, Benoit Marteau, Shaun Q Y Tan, Kyungbeom Kim, Oankar Patil, May D Wang

IEEE Rev Biomed Eng· December 2025

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Greater value add from electronic health records than polygenic risk scores for predicting myocardial infarction in machine learning.
Monica Isgut, Andrew Hornback, Han Bao, Yiting Sun, Katherine Choi, May D Wang

Commun Med (Lond)· November 2025

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Machine Learning-Based Prediction for Stroke Patient Classification using Polygenic Risk Scores.
Marco Piazzi, Yifei Wang, Andrew Hornback, Monica Isgut, Harinishree Sathu, May D Wang

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Enhancing Colon Cancer Risk Prediction in Machine Learning Models using Polygenic Risk Scores.
Kyungbeom Kim, Harinishree Sathu, Andrew Hornback, Monica Isgut, Joshua Traynelis, May D Wang

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Advancing Sleep Disorder Diagnostics: A Transformer-Based EEG Model for Sleep Stage Classification and OSA Prediction.
Cheng Wan, Micky C Nnamdi, Wenqi Shi, Benjamin Smith, Chad Purnell, May D Wang

IEEE J Biomed Health Inform· February 2025

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Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence.
Wenqi Shi, Felipe O Giuste, Yuanda Zhu, Ben J Tamo, Micky C Nnamdi, May D Wang

Commun Med (Lond)· January 2025

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Graph theoretic visualization of patient and health worker messaging in the EHR.
Muhammad Zia Ul Haq, Andrew Hornback, Arash Harzand, David Andrew Gutman, Bradley Gallaher, May D Wang

Front Artif Intell· December 2024

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EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records.
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, May D Wang

Proc Conf Empir Methods Nat Lang Process· November 2024

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MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning.
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, May D Wang

Proc Conf Empir Methods Nat Lang Process· November 2024

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Identifying and characterizing disease subpopulations that most benefit from polygenic risk scores.
Monica Isgut, Felipe Giuste, Logan Gloster, Aniketh Swain, Katherine Choi, May D Wang

Sci Rep· September 2024

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Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach.
Hang Wu, Wenqi Shi, Anirudh Choudhary, May D Wang

BMC Med Inform Decis Mak· September 2024

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Identifying Features for Keloid Scars Subtyping Using K-Modes Clustering.
Anirudh Jaishankar, Neha Jain, Andrew Hornback, Asma Khimani, Pavithra Avula, May D Wang

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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Predicting Cardiovascular Disease Risk in Tobacco Users Using Machine Learning Algorithms.
Asma Khimani, Andrew Hornback, Neha Jain, Pavithra Avula, Anirudh Jaishankar, May D Wang

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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Interpretable Survival Risk Prediction for High-Grade Glioma Patients via Radiomic Features from Peritumoral Region.
Rohan Dhamdhere, Satvika Bharadwaj, Arpit Aggarwal, Pushkar Mutha, Wenqi Shi, May D Wang

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning.
Hang Wu, Wenqi Shi, May D Wang

BMC Med Inform Decis Mak· May 2024

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Integrating Multi-Omics Data With EHR for Precision Medicine Using Advanced Artificial Intelligence.
Li Tong, Wenqi Shi, Monica Isgut, Yishan Zhong, Peter Lais, May D Wang

IEEE Rev Biomed Eng· January 2024

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Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening.
Sofiya Vyshnya, Rachel Epperson, Felipe Giuste, Wenqi Shi, Andrew Hornback, May D Wang

IEEE Open J Eng Med Biol· January 2024

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Early and fair COVID-19 outcome risk assessment using robust feature selection.
Felipe O Giuste, Lawrence He, Peter Lais, Wenqi Shi, Yuanda Zhu, May D Wang

Sci Rep· November 2023

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Improving explainable AI with patch perturbation-based evaluation pipeline: a COVID-19 X-ray image analysis case study.
Jimin Sun, Wenqi Shi, Felipe O Giuste, Yog S Vaghani, Lingzi Tang, May D Wang

Sci Rep· November 2023

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Effect of case and control definitions on genome-wide association study (GWAS) findings.
Monica Isgut, Kijoung Song, Margaret G Ehm, May Dongmei Wang, Jonathan Davitte

Genet Epidemiol· July 2023

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Use of Natural Language Processing of Patient-Initiated Electronic Health Record Messages to Identify Patients With COVID-19 Infection.
Kellen Mermin-Bunnell, Yuanda Zhu, Andrew Hornback, Gregory Damhorst, Tiffany Walker, May Dongmei Wang

JAMA Netw Open· July 2023

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Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era.
Monica Isgut, Logan Gloster, Katherine Choi, Janani Venugopalan, May D Wang

IEEE Rev Biomed Eng· April 2023

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Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection.
Felipe O Giuste, Ryan Sequeira, Vikranth Keerthipati, Peter Lais, Ali Mirzazadeh, May D Wang

J Biomed Inform· March 2023

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Novel methods for elucidating modality importance in multimodal electrophysiology classifiers.
Charles A Ellis, Mohammad S E Sendi, Rongen Zhang, Darwin A Carbajal, May D Wang

Front Neuroinform· March 2023

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Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR.
Benoit L Marteau, Yuanda Zhu, Felipe Giuste, Wenqi Shi, Ashley Carpenter, May D Wang

Annu Int Conf IEEE Eng Med Biol Soc· July 2022

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