Author

Onyinye Chukka

Georgia Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

I. King JordaniD· 1 shared Joseph Luper TsenumiD· 1 shared K. Choi· 1 shared Leonardo Mariño‐RamíreziD· 1 shared Manoj S. KambaraiD· 1 shared Nolan J. EnglishiD· 1 shared Sonali GuptaiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

I. King JordanORCID

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1 paper

Recent·Most cited

Explainable machine learning for health disparities: type 2 diabetes in the All of Us research program

Manoj S. Kambara, Onyinye Chukka, K. Choi, Joseph Luper Tsenum, Sonali Gupta, Nolan J. English, I. King Jordan, Leonardo Mariño‐Ramírez

This paper uses explainable machine learning to identify and quantify T2D risk factors contributing to health disparities among different racial and ethnic groups in the All of Us research program.

bioRxiv · Feb 18, 2025 · PreprintBioinformatics