Kai Chen
Kai Chen is a software engineer at Google. He received a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2004. He is currently working on applied machine learning in healthcare and natural language processing. Previously he has worked on ML in online advertising. For a list of publications, please see his Google Scholar profile.
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Extracting Symptoms and their Status from Clinical Conversations
Nan Du
Linh Tran
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy (2019), pp. 915-9125
Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning
Alvin Rishi Rajkomar
Kat Chou
Journal of the American Medical Association (2019)
Scalable and accurate deep learning for electronic health records
Alvin Rishi Rajkomar
Eyal Oren
Nissan Hajaj
Mila Hardt
Peter J. Liu
Xiaobing Liu
Jake Marcus
Patrik Per Sundberg
Kun Zhang
Yi Zhang
Gerardo Flores
Gavin Duggan
Jamie Irvine
Kurt Litsch
Alex Mossin
Justin Jesada Tansuwan
De Wang
Dana Ludwig
Samuel Volchenboum
Kat Chou
Michael Pearson
Srinivasan Madabushi
Nigam Shah
Atul Butte
npj Digital Medicine (2018)
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Neural and Information Processing System (NIPS) (2013)
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
International Conference on Learning Representations (2013)
Building high-level features using large scale unsupervised learning
Marc'Aurelio Ranzato
Rajat Monga
Matthieu Devin
Andrew Ng
International Conference in Machine Learning (2012)
Large Scale Distributed Deep Networks
Rajat Monga
Matthieu Devin
Mark Z. Mao
Marc’Aurelio Ranzato
Paul Tucker
Ke Yang
Andrew Y. Ng
NIPS (2012)
