Author

Leena Choi

Vanderbilt University Medical CenterORCID 0000-0002-2544-7090Unclaimed 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:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Cole BeckiD· 1 shared Elizabeth A. McNeer· 1 shared Hannah L. WeeksiD· 1 shared Kristin R. ArcheriD· 1 shared Michael L. WilliamsiD· 1 shared Nathan T. JamesiD· 1 shared Ryan P. MooreiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperBioinformatics

Cole BeckORCID

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2 papers

Recent·Most cited

Statistical and machine learning models for classification of human wear and delivery days in accelerometry data

Ryan P. Moore, Kristin R. Archer, Leena Choi

This paper develops models to classify accelerometry data as human wear or delivery days, finding that a hybrid convolutional recurrent neural network performs best.

Sensors · Apr 13, 2021Peer-reviewedBioinformatics

A post-processing algorithm for building longitudinal medication dose data from extracted medication information using natural language processing from electronic health records

Elizabeth A. McNeer, Cole Beck, Hannah L. Weeks, Michael L. Williams, Nathan T. James, Leena Choi

This paper introduces a post-processing algorithm that converts raw NLP output from EHRs into usable medication dose data for analysis.

bioRxiv · Feb 3, 2020 · PreprintBioinformatics