Natural language processing of radiology reports for identification of skeletal site-specific fractures

Natural language processing of radiology reports for identification of skeletal site-specific fractures

Abstract Background Osteoporosis has become an important public health issue. Most of the population, particularly elderly people, are at some degree of risk of osteoporosis-related fractures. Accurate identification and surveillance of patient populations with fractures has a significant impact on...

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Bibliographic Details
Main Authors: Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Fracture identification
Natural language processing
Radiology reports
Electronic health records
Online Access:http://link.springer.com/article/10.1186/s12911-019-0780-5

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http://link.springer.com/article/10.1186/s12911-019-0780-5

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