Natural language based machine learning models for the annotation of clinical radiology reports - RADIOLOGY
J. Zech, M. Pain, J. Titano, M. Badgeley, J. Schefflein, A. Su, A. B. Costa, J. B. Bederson. J. Lehar, E. K. Oermann, "Natural language based machine learning models for the annotation of clinical radiology reports", Radiology (2018)
Student John Zech and researchers at AISINAI trained the computer software using 96,303 radiologist reports associated with head CT scans performed at The Mount Sinai Hospital and Mount Sinai Queens between 2010 and 2016. To characterize the “lexical complexity” of radiologist reports, researchers calculated metrics that reflected the variety of language used in these reports and compared these to other large collections of text: thousands of books, Reuters news stories, inpatient physician notes, and Amazon product reviews.