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Found 6 papers, 2 papers with code
Spectral structure learning for clinical time series
We develop and evaluate a structure learning algorithm for clinical time series.
Enhancing Clinical Data Warehouses with Provenance and Large File Management: The gitOmmix Approach for Clinical Omics Data
We introduce gitOmmix, an approach that overcomes these limitations, and illustrate its usefulness in the management of medical omics data.
The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials
The Smart Data Extractor pre-populates clinic research forms by following rules.
Learning the grammar of drug prescription: recurrent neural network grammars for medication information extraction in clinical texts
Similarly, we evaluated seq-RNNG, a hybrid RNNG model that takes as extra-input the output of the BiLSTMs for entities and events.
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context
In the biomedical domain, the lack of sharable datasets often limit the possibility of developing natural language processing systems, especially dialogue applications and natural language understanding models.
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
We then compare performances of all methods both in terms of risk prediction and variable selection, with a focus on the use of Elastic-Net regularization technique.
