Author

Whyson Muunga

University of Zambia

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

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexander P. KeiliD· 1 shared Bellington VwalikaiD· 1 shared Jeffrey S. A. StringeriD· 1 shared Jennifer WinstoniD· 1 shared Joan T. PriceiD· 1 shared Katelyn RittenhouseiD· 1 shared Marie C. D. StoneriD· 1 shared Monica Kapasa· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexander P. KeilORCID

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1 paper

Recent·Most cited

Improving preterm newborn identification in low-resource settings with machine learning

Katelyn Rittenhouse, Bellington Vwalika, Alexander P. Keil, Jennifer Winston, Marie C. D. Stoner, Joan T. Price, Monica Kapasa, Mulaya Mubambe, Vanilla Banda, Whyson Muunga, Jeffrey S. A. Stringer

The paper develops a machine learning model to improve preterm newborn identification in low-resource settings using readily available maternal and birth data.

PLoS ONE · Feb 27, 2019Peer-reviewedBioinformatics