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  • 2020

    Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions

    Wanyan, T., Kang, M., Badgeley, M. A., Johnson, K. W., De Freitas, J. K., Chaudhry, F. F., Vaid, A., Zhao, S., Miotto, R., Nadkarni, G. N., Wang, F., Rousseau, J., Azad, A., Ding, Y. & Glicksberg, B. S., 2020, Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Proceedings. Michalowski, M. & Moskovitch, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 14-25 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12299 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2014

    Leveraging hierarchy in medical codes for predictive modeling

    Singh, A., Nadkarni, G., Guttag, J. & Bottinger, E., 20 Sep 2014, ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, p. 96-103 8 p. (ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Scopus citations