Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies Journal of Biomedical Semantics Full Text
Understand Natural Language Processing and Put It to Work for You Statistical algorithms are more flexible, scalable, and robust than rule-based algorithms, but they also have some drawbacks. They require a lot of data to train and evaluate the models, and they may not capture the semantic and contextual meaning of natural language. Three tools…