Identifying Clinical Terms in Medical Text Using Ontology-Guided Machine Learning

« (…) We present a neural dictionary model that can be used to predict if a phrase is synonymous to a concept in a reference ontology. Our model, called the Neural Concept Recognizer (NCR), uses a convolutional neural network to encode input phrases and then rank medical concepts based on the similarity in that space. It uses the hierarchical structure provided by the biomedical ontology as an implicit prior embedding to better learn embedding of various terms. (…) »

source >, Arbabi A, Adams DR, Fidler S, Brudno M, JMIR Med Inform 2019;7(2):e12596, DOI: 10.2196/12596 PMID: 31094361