6 citations · 12 across the 6 of their papers we have counts for
6 papers
Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine
Madhumita Sushil, Atul J. Butte, Ewoud Schuit +2
Objective: Text mining of clinical notes embedded in electronic medical records is increasingly used to extract patient characteristics otherwise not or only partly available, to a…
Comparing methods addressing multi-collinearity when developing prediction models
Artuur M. Leeuwenberg, Maarten van Smeden, Johannes A. Langendijk +5
Clinical prediction models are developed widely across medical disciplines. When predictors in such models are highly collinear, unexpected or spurious predictor-outcome associatio…
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)
Artuur Leeuwenberg, Marie-Francine Moens
Time is deeply woven into how people perceive, and communicate about the world. Almost unconsciously, we provide our language utterances with temporal cues, like verb tenses, and w…
Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction
Liesbeth Allein, Artuur Leeuwenberg, Marie-Francine Moens
The correct use of Dutch pronouns 'die' and 'dat' is a stumbling block for both native and non-native speakers of Dutch due to the multiplicity of syntactic functions and the depen…
Word-Level Loss Extensions for Neural Temporal Relation Classification
Artuur Leeuwenberg, Marie-Francine Moens
Unsupervised pre-trained word embeddings are used effectively for many tasks in natural language processing to leverage unlabeled textual data. Often these embeddings are either us…
Temporal Information Extraction by Predicting Relative Time-lines
Artuur Leeuwenberg, Marie-Francine Moens
The current leading paradigm for temporal information extraction from text consists of three phases: (1) recognition of events and temporal expressions, (2) recognition of temporal…