Open AccessPerformance of Cancer Recurrence Algorithms After Coding Scheme Switch From International Classification of Diseases 9th Revision to International Classification of Diseases 10th Revision
Author(s) -
Nikki M. Carroll,
Debra P. Ritzwoller,
Matthew P. Banegas,
Maureen O’KeeffeRosetti,
Angel M. Cronin,
Hajime Uno,
Mark C. Hornbrook,
Michael J. Hassett
Publication year - 2019
Publication title -
jco clinical cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 12
ISSN - 2473-4276
DOI - 10.1200/cci.18.00113
Subject(s) - classification scheme , coding (social sciences) , scheme (mathematics) , computer science , algorithm , computational biology , artificial intelligence , mathematics , machine learning , biology , statistics , mathematical analysis
We previously developed and validated informatic algorithms that used International Classification of Diseases 9th revision (ICD9)-based diagnostic and procedure codes to detect the presence and timing of cancer recurrence (the RECUR Algorithms). In 2015, ICD10 replaced ICD9 as the worldwide coding standard. To understand the impact of this transition, we evaluated the performance of the RECUR Algorithms after incorporating ICD10 codes.