Representing Health Data and Medical Knowledge for Deep Learning

Emil Riis Hansen

Research output: PhD thesis

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  • 2023

    Patient Event Sequences for Predicting Hospitalization Length of Stay

    Hansen, E. R., Nielsen, T. D., Larsen, T. M., Strausholm, M. N., Sagi, T. & Hose, K., 7 Jun 2023, Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings. Juarez, J. M., Marcos, M., Stiglic, G. & Tucker, A. (eds.). Springer, p. 51-56 6 p. (Lecture Notes in Computer Science (LNCS), Vol. LNCS 13897).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

  • 2020

    Towards Assigning Diagnosis Codes Using Medication History

    Sagi, T., Hansen, E. R., Hose, K., Lip, G. Y. H., Larsen, T. B. & Skjøth, F., 26 Sept 2020, Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings. Springer, p. 203-213 11 p. (Lecture Notes in Computer Science, Vol. 12299).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    4 Citations (Scopus)