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High inter-rater reliability between a machine learning natural language processing algorithm and human data reviewers in identifying acute ischemic stroke in the middle cerebral artery territory from radiographic text reports (1745)
0
Zitationen
8
Autoren
2021
Jahr
Abstract
To investigate the inter-rater reliability between a machine learning Natural Language Processing (NLP) algorithm and trained data reviewers at identifying acute ischemic strokes in the Middle Cerebral Artery (MCA) territory in a dataset of unstructured, written-text radiology reports from a diverse cohort of patients collected from 2012–2018.
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