Amber Stubbs
About
Amber Stubbs has authored 13 papers that have received a total of 651 indexed citations.
This includes 10 papers in Molecular Biology, 10 papers in Artificial Intelligence and 3 papers in Health Information Management. The topics of these papers are Biomedical Text Mining and Ontologies (10 papers), Machine Learning in Healthcare (6 papers) and Topic Modeling (6 papers). Amber Stubbs is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Machine Learning in Healthcare (6 papers) and Topic Modeling (6 papers) and collaborates with scholars based in United States. Amber Stubbs's co-authors include Özlem Uzuner, Michele Filannino, Hua Xu, Christopher Kotfila and Sam Henry and has published in prestigious journals such as Journal of the American Medical Informatics Association and Journal of Biomedical Informatics
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