Author

Matthew A. Schiefer

Malcom Randall VA Medical CenterORCID 0000-0001-8490-088XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Anmol M KiraniD· 1 shared Benjamin NorbomiD· 1 shared Bhavesh J. PateliD· 1 shared Erin E. PatrickiD· 1 shared Jorge AlbertoiD· 1 shared Joshua WongiD· 1 shared Justin E. GolabekiD· 1 shared Ryan Quey· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperBioinformatics

Anmol M KiranORCID

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2 papers

Recent·Most cited

NeuroscienceDeep Brain StimulationPeer-reviewedSep 7, 2026

Comparison of Machine Learning Surrogate Models for Prediction of Single-Fiber Activation in Deep Brain Stimulation

Jorge Alberto, Benjamin Norbom, Justin E. Golabek…·Erin E. Patrick

This study compares machine learning models for predicting single-fiber activation in DBS across various electrode configurations, finding that CNNs outperform XGBoost in complex fields.

DOI 10.1016/j.jdbs.2026.08.003

electronic health recordsmachine learning (classical)

𝕏 PostBluesky

BioinformaticsF1000ResearchPeer-reviewedNov 9, 2021

KnowMore: An Automated Knowledge Discovery Tool for the FAIR SPARC Datasets

Ryan Quey, Matthew A. Schiefer, Anmol M Kiran, Bhavesh J. Patel

KnowMore automates knowledge discovery across FAIR SPARC datasets by integrating data science methods and machine learning to generate visualizations for comparative analysis.

5 citations

machine learning (classical)benchmarking

𝕏 PostBluesky