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Found 4 papers, 2 papers with code
Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python
Despite impressive success of machine learning algorithms in clinical natural language processing (cNLP), rule-based approaches still have a prominent role.
A generic rule-based system for clinical trial patient selection
The n2c2 2018 Challenge task 1 aimed to identify patients who meet lists of heterogeneous inclusion/exclusion criteria for a hypothetical clinical trial.
FastContext: an efficient and scalable implementation of the ConText algorithm
Objective: To develop and evaluate FastContext, an efficient, scalable implementation of the ConText algorithm suitable for very large-scale clinical natural language processing.
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