Author

Priti Poojary

Icahn School of Medicine at Mount SinaiORCID 0000-0002-8686-7945Unclaimed 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:clustering· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Áine DuffyiD· 1 shared Aparna SahaiD· 1 shared Girish N. NadkarniiD· 1 shared Kinsuk ChauhaniD· 1 shared Kumardeep ChaudharyiD· 1 shared Lili ChaniD· 1 shared Ron DoiD· 1 shared Steven G. CocaiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Áine DuffyORCID

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1 paper

Recent·Most cited

Unsupervised Machine learning to subtype Sepsis-Associated Acute Kidney Injury

Kumardeep Chaudhary, Áine Duffy, Priti Poojary, Aparna Saha, Kinsuk Chauhan, Ron Do, Tielman T. Van Vleck, Steven G. Coca, Lili Chan, Girish N. Nadkarni

This study uses unsupervised machine learning on EHR data to identify two subphenotypes of sepsis-associated AKI with differing mortality rates, emphasizing the importance of intra-patient variability.

bioRxiv · Oct 18, 2018 · PreprintBioinformatics