H
Hyeoneui Kim
Researcher at Duke University
Publications - 88
Citations - 2613
Hyeoneui Kim is an academic researcher from Duke University. The author has contributed to research in topics: Health informatics & Metadata. The author has an hindex of 22, co-authored 85 publications receiving 2051 citations. Previous affiliations of Hyeoneui Kim include Mayo Clinic & New Generation University College.
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Blockchain distributed ledger technologies for biomedical and health care applications
TL;DR: This paper introduces blockchain technologies, including their benefits, pitfalls, and the latest applications, to the biomedical and health care domains and discusses the potential challenges and proposed solutions of adopting blockchain technologies in biomedical/health care domains.
Journal ArticleDOI
iDASH: integrating data for analysis, anonymization, and sharing
Lucila Ohno-Machado,Vineet Bafna,Aziz A. Boxwala,Brian E. Chapman,Wendy W. Chapman,Kamalika Chaudhuri,Michele E. Day,Claudiu Farcas,Nathaniel D. Heintzman,Xiaoqian Jiang,Hyeoneui Kim,Jihoon Kim,Michael E. Matheny,Frederic S. Resnic,Staal A. Vinterbo +14 more
TL;DR: Through these various mechanisms, iDASH implements its goal of providing biomedical and behavioral researchers with access to data, software, and a high-performance computing environment, thus enabling them to generate and test new hypotheses.
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Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations.
TL;DR: The proposed methodology proves to be capable of providing a promising solution for drug‐target prediction based on topological similarity with a heterogeneous network, and may be readily re‐purposed and adapted in the existing of similarity‐based methodologies.
Proceedings Article
Towards consumer-friendly PHRs: patients' experience with reviewing their health records.
Alla Keselman,Laura Slaughter,Catherine Arnott-Smith,Hyeoneui Kim,Guy Divita,Allen C. Browne,Christopher Tsai,Qing Zeng-Treitler +7 more
TL;DR: A survey of patients' experience with reviewing their health records, in order to identify barriers to optimal record use points to providers' notes, laboratory test results and radiology reports as the most difficult records sections for lay reviewers.
Proceedings Article
Making Texts in Electronic Health Records Comprehensible to Consumers: A Prototype Translator
TL;DR: A prototype text translator identifies difficult terms, replaces them with easier synonyms, and generates and inserts explanatory texts for them and demonstrates a non-statistically significant trend toward better comprehension when translation is provided.