Author

Benjamin R. Kummer

Icahn School of Medicine at Mount SinaiORCID 0000-0002-1413-8014Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Mitchell S.V. ElkindiD· 1 shared Nicholas P. TatonettiiD· 1 shared Phyllis ThangarajiD· 1 shared Tal LorberbaumiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Mitchell S.V. ElkindORCID

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1 paper

Recent·Most cited

Comparative analysis of EHR-based stroke phenotyping methods, their applications, and interpretation

Phyllis Thangaraj, Benjamin R. Kummer, Tal Lorberbaum, Mitchell S.V. Elkind, Nicholas P. Tatonetti

The paper compares machine learning algorithms for identifying acute ischemic stroke patients using EHR data, finding high accuracy with logistic regression and demonstrating generalizability.

BioData Mining · Dec 1, 2020Peer-reviewedBioinformatics