Author

Mulaya Mubambe

University of ZambiaORCID 0000-0002-0596-2255Unclaimed 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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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