Adler Perotte
About
Adler Perotte has authored 32 papers that have received a total of 975 indexed citations.
This includes 12 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Molecular Biology. The topics of these papers are Machine Learning in Healthcare (9 papers), Topic Modeling (5 papers) and Advanced Causal Inference Techniques (4 papers). Adler Perotte is often cited by papers focused on Machine Learning in Healthcare (9 papers), Topic Modeling (5 papers) and Advanced Causal Inference Techniques (4 papers) and collaborates with scholars based in United States, South Korea and Australia. Adler Perotte's co-authors include George Hripcsak, Chunhua Weng, Noémie Elhadad, David J. Albers and Patrick Ryan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and PLoS ONE
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