Sun W, Rumshisky A, Uzuner Ö.
Evaluating temporal relations in clinical text: 2012 i2b2 Challenge [Internet]. Journal of the American Medical Informatics Association 2013;20(5):806-813.
https://doi.org/10.1136/amiajnl-2013-001628 Sun W, Rumshisky A, Uzuner Ö.
Temporal reasoning over clinical text: the state of the art [Internet]. Journal of the American Medical Informatics Association 2013;20(5):814-819.
https://doi.org/10.1136/amiajnl-2013-001760 Grouin C, Grabar N, Hamon T, Rosset S, Tannier X, Zweigenbaum P.
Eventual situations for timeline extraction from clinical reports [Internet]. Journal of the American Medical Informatics Association 2013;20(5):820-827.
https://doi.org/10.1136/amiajnl-2013-001627 Tang B, Wu Y, Jiang M, Chen Y, Denny JC, Xu H.
A hybrid system for temporal information extraction from clinical text [Internet]. Journal of the American Medical Informatics Association 2013;20(5):828-835.
https://doi.org/10.1136/amiajnl-2013-001635 Sohn S, Wagholikar K, Li D, Jonnalagadda SR, Tao C, Elayavilli RK, Liu H.
Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification [Internet]. Journal of the American Medical Informatics Association 2013;20(5):836-842.
https://doi.org/10.1136/amiajnl-2013-001622 Kovačević A, Dehghan A, Filannino M, Keane JA, Nenadic G.
Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives . Journal of the American Medical Informatics Association 2013;20(5):859-866.
Sun W, Rumshisky A, Uzuner Ö.
Annotating temporal information in clinical narratives [Internet]. Journal of Biomedical Informatics 2013;6(Supplement):S5-S12.
https://doi.org/10.1016/j.jbi.2013.07.004