Xing He, PhD

By leveraging data and AI, we can bridge the gap between innovation and care, empowering clinicians and improving patient outcomes.

Initiatives

Research Scientist, Clem McDonald Center for Biomedical Informatics, Regenstrief Institute
Assistant Professor, Indiana University School of Medicine

Dr. He’s research focuses on leveraging innovative informatics methodologies to advance healthcare and biomedical research. His work emphasizes data standardization and integration, real-world data-driven frameworks for clinical trial eligibility criteria, clinical decision support systems, and cohort discovery platforms powered by artificial intelligence, including large language models. Dr. He has also developed health informatics tools, including platforms for knowledge graph visualization, ontology annotation systems, and semantic data integration frameworks. Additionally, he applies real-world data to create computable phenotypes, driving advancements in eHealth and mHealth, and uses natural language processing (NLP) techniques to enhance data extraction and integration.

Dr. He’s interdisciplinary work bridges data science and medicine, enabling transformative solutions that improve patient care and population health. His contributions drive innovation in health informatics, expanding the applicability and impact of advanced data-driven methodologies in healthcare systems.

Highlighted Publications

May 17, 2024

Extracting pulmonary nodules and nodule characteristics from radiology reports of lung cancer screening patients using transformer models

Publication: Journal of Healthcare Informatics Research

DOI: doi: 10.1007/s41666-024-00166-5

Authors: Yang S, Yang X, Lyu T, Huang JL, Chen A, He X, Braithwaite D, Mehta HJ, Wu Y, Guo Y, Bian J

Jul 3, 2024

Develop and validate a computable phenotype for the identification of Alzheimer’s disease patients using electronic health record data

Publication: Alzheimer's & Dementia (Amsterdam, Netherlands)

DOI: 10.1002/dad2.12613

Authors: He X, Wei R, Huang Y, Chen Z, Lyu T, Bost S, Tong J, Li L, Zhou Y, Li Z, Guo J, Tang H, Wang F, DeKosky S, Xu H, Chen Y, Zhang R, Xu J, Guo Y, Wu Y, Bian J

Jun 2024

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework

Publication: Journal of the American Medical Informatics Association

DOI: 10.1093/jamia/ocae075

Authors: Tong J, Shen Y, Xu A, He X, Luo C, Edmondson M, Zhang D, Lu Y, Yan C, Li R, Siegel L, Sun L, Shenkman EA, Morton SC, Malin BA, Bian J, Asch DA, Chen Y

Dec 23, 2023

Developing a computable phenotype for glioblastoma

Publication: Neuro-oncology

DOI: 10.1093/neuonc/noad249

Authors: Yan S, Melnick K, He X, Lyu T, Moor RSF, Still MEH, Mitchell DA, Shenkman EA, Wang H, Guo Y, Bian J, Ghiaseddin AP

Feb 23, 2023

Early prediction of Alzheimer’s disease and related dementias using real-world electronic health records

Publication: Alzheimer's & Dementia

DOI: 10.1002/alz.12967

Authors: Li Q, Yang X, Xu J, Guo Y, He X, Hu H, Lyu T, Marra D, Miller A, Smith G, DeKosky S, Boyce RD, Schliep K, Shenkman E, Maraganore D, Wu Y, Bian J

Jul 4, 2022

Methodological challenges in spatial and contextual exposome-health studies

Publication: Critical Reviews in Environmental Science and Technology

DOI: 10.1080/10643389.2022.2093595

Authors: Hu H, Liu X, Zheng Y, He X, Hart J, James P, Laden F, Chen Y, Bian J

Sep 2022

A scoping review of semantic integration of health data and information

Publication: International Journal of Medical Informatics

DOI: 10.1016/j.ijmedinf.2022.104834

Authors: Zhang H, Lyu T, Yin P, Bost S, He X, Guo Y, Prosperi M, Hogan WR, Bian J

Jan 4, 2021

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

Publication: JAMIA Open

DOI: 10.1093/jamiaopen/ooab026

Authors: He X, Zhang R, Alpert J, Zhou S, Adam TJ, Raisa A, Peng Y, Zhang H, Guo Y, Bian J

Dec 15, 2020

Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

Publication: JMIR Medical Informatics

DOI: 10.2196/22982

Authors: Yang X, Zhang H, He X, Bian J, Wu Y

Oct 2020

User-centered design of a web-based crowdsourcing-integrated semantic text annotation tool for building a mental health knowledge base

Publication: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2020.103571

Authors: He X, Zhang H, Bian J

Jul 13, 2020

Causal inference and counterfactual prediction in machine learning for actionable healthcare

Publication: Nature Machine Intelligence

DOI:10.1038/s42256-020-0197-y

Authors: Prosperi M, Guo Y, Sperrin M, Koopman JS, Min JS, He X, Rich S, Wang M, Buchan IE, Bian J

Aug 8, 2019

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design

Publication: BMC Medical Informatics and Decision Making

DOI: 10.1186/s12911-019-0857-1

Authors: He X, Zhang R, Rizvi R, Vasilakes J, Yang X, Guo Y, He Z, Prosperi M, Huo J, Alpert J, Bian J

In The News

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Xing He, PhD

Highlighted Publications