Health AI Central
Share:
Peer-Reviewed Publication
Stud Health Technol Inform2015;2161085.January 1, 2015Journal Article

A Statistical Analysis of Term Occurrences in Radiology Reporting.

Yi Hong1, Jin Zhang2, Ying Zhu2, Xiaoying Zhou3
1Department of Product Engineering, MedeAnalytics, Inc., Emeryville, CA, USA.
2School of Information Studies, University of Wisconsin-Milwaukee, WI, USA.
3School of Information Resource Management, Renmin University of China, Beijing, China.
PubMed

Abstract

To compare term occurrences in free-text radiology reports and RSNA reporting templates, we selected five templates from an RSNA reporting template library and their corresponding free-text reports as a test set, and employed the Wilcoxon signed-rank test to find out whether the terms in RSNA reporting templates match those terms appearing in corresponding free-text radiology reports. The results…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.