Tristan Naumann
About
Tristan Naumann has authored 25 papers that have received a total of 1.5k indexed citations.
This includes 20 papers in Artificial Intelligence, 9 papers in Molecular Biology and 4 papers in Epidemiology. The topics of these papers are Machine Learning in Healthcare (13 papers), Biomedical Text Mining and Ontologies (8 papers) and Topic Modeling (8 papers). Tristan Naumann is often cited by papers focused on Machine Learning in Healthcare (13 papers), Biomedical Text Mining and Ontologies (8 papers) and Topic Modeling (8 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Tristan Naumann's co-authors include Marzyeh Ghassemi, Peter Szolovits, Hoifung Poon, Andrew L. Beam and Naoto Usuyama and has published in prestigious journals such as Nature Methods, Science Translational Medicine and Journal of Medical Internet Research
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