Author

Somya D. Mohanty

University of North Carolina at GreensboroORCID 0000-0002-4253-5201Unclaimed 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 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Prashanti MandaiD· 2 shared Deborah A. LekaniD· 1 shared Lucas Beasley· 1 shared Marjorie Jenkins· 1 shared Thomas P. McCoyiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Prashanti MandaORCID

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2 papers

Recent·Most cited

A multi-modal machine learning approach towards predicting patient readmission

Somya D. Mohanty, Deborah A. Lekan, Thomas P. McCoy, Marjorie Jenkins, Prashanti Manda

This paper develops and compares machine learning models to predict 30-day unplanned readmission in frail elderly patients using electronic health records.

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · Dec 16, 2020Peer-reviewedBioinformatics

Taking a Dive: Experiments in Deep Learning for Automatic Ontology-based Annotation of Scientific Literature

Prashanti Manda, Lucas Beasley, Somya D. Mohanty

This study develops a GRU-based deep learning model for ontology-based annotation of scientific literature, achieving high precision and recall across five ontologies.

bioRxiv · Jul 10, 2018 · PreprintBioinformatics