2020
DOI: 10.1371/journal.pone.0234908
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Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports

Abstract: Accurate, automated extraction of clinical stroke information from unstructured text has several important applications. ICD-9/10 codes can misclassify ischemic stroke events and do not distinguish acuity or location. Expeditious, accurate data extraction could provide considerable improvement in identifying stroke in large datasets, triaging critical clinical reports, and quality improvement efforts. In this study, we developed and report a comprehensive framework studying the performance of simple and comple… Show more

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Cited by 78 publications
(39 citation statements)
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“…The data pipeline is displayed in Fig. 1 , with inspiration taken from Ong et al[ 28 ] As mentioned above, two rounds of annotation were performed. For relevancy classification, annotators labeled a random sample of 2,786 tweets, and the Relevancy Classifier was trained on this.…”
Section: Resultsmentioning
confidence: 99%
“…The data pipeline is displayed in Fig. 1 , with inspiration taken from Ong et al[ 28 ] As mentioned above, two rounds of annotation were performed. For relevancy classification, annotators labeled a random sample of 2,786 tweets, and the Relevancy Classifier was trained on this.…”
Section: Resultsmentioning
confidence: 99%
“…Embedding use has increased which is expected with the application of deep learning approaches but many rule-based and machine classifiers continue to use traditional count-based features, e.g., bag-of-words and n-grams. Recent evidence [128] suggests that the trend to continue to use feature engineering with traditional machine learning methods does produce better performance in radiology reports than using domain-specific word embeddings.…”
Section: Clinical Applications and Nlp Methods In Radiologymentioning
confidence: 99%
“…Natural language processing (NLP) can convert large amounts of free-text data into structured data and has been used to extract information on stroke type and location from diagnostic imaging reports [ 9 - 11 ]. However, its ability to characterize vascular occlusions is not well understood.…”
Section: Introductionmentioning
confidence: 99%