Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes

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Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “tion [146], semantic analysis [147], [148], information retrieval [149], [150], entity recognition [151], [152], relation extraction [153], [154], [155], [156], and event detection [157], [158].”
Clinical Text Data in Machine Learning: Systematic Review (2020, background): “They focused on entities such as medical problems, tests, and treatments [20,49,67,96,104]; disorders [54,57,88,98,114]; and protected health information [27,58,65].”
AI in Health: State of the Art, Challenges, and Future Directions (2019, methodology): “Schwab et al. [50] proposed to tackle the same problem with RNN techniques.”