Author

Yoni Halpern

New York UniversityORCID 0009-0006-7126-4558Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Assay:electronic health records· 1

Frequent Co-Authors

David Alexander SontagiD· 2 shared Steven HorngiD· 2 shared Abdulhakim Tlimat· 1 shared Colby S. Redfield· 1 shared David W. SchoenfeldiD· 1 shared Edward A. Ullman· 1 shared Larry A Nathanson· 1 shared Larry A. Nathanson· 1 shared

Activity by Year

2017-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

David Alexander SontagORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 12, 2017

Contextual Autocomplete: A Novel User Interface Using Machine Learning to Improve Ontology Usage and Structured Data Capture for Presenting Problems in the Emergency Department

Nathaniel R. Greenbaum, Yacine Jernite, Yoni Halpern…·Steven Horng

This paper demonstrates a contextual autocomplete system that improves structured data capture and quality in emergency department documentation using machine learning.

5 citations

machine learning (classical)benchmarking

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 12, 2017

Derivation and Validation of a Record Linkage Algorithm between EMS and the Emergency Department

Colby S. Redfield, Abdulhakim Tlimat, Yoni Halpern…·Steven Horng

The paper develops and validates a machine learning algorithm to link EMS electronic patient care reports to emergency department records, achieving high sensitivity and positive predictive value.

DOI 10.1101/124313

electronic health recordsmachine learning (classical)

𝕏 PostBluesky