Open AccessLinking Individual Data From the Spinal Cord Injury Model Systems Center and Local Trauma Registry: Development and Validation of Probabilistic Matching Algorithm
Author(s) -
Yuying Chen,
Huacong Wen,
Russell Griffin,
Mary Joan Roach,
Michael L. Kelly
Publication year - 2020
Publication title -
topics in spinal cord injury rehabilitation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 35
eISSN - 1945-5763
pISSN - 1082-0744
DOI - 10.46292/sci20-00015
Subject(s) - medicine , medical record , trauma center , spinal cord injury , probabilistic logic , matching (statistics) , record linkage , algorithm , data mining , medical emergency , retrospective cohort study , computer science , artificial intelligence , spinal cord , surgery , population , pathology , psychiatry , environmental health
Linking records from the National Spinal Cord Injury Model Systems (SCIMS) database to the National Trauma Data Bank (NTDB) provides a unique opportunity to study early variables in predicting long-term outcomes after traumatic spinal cord injury (SCI). The public use data sets of SCIMS and NTDB are stripped of protected health information, including dates and zip code.