TY  - JOUR
PY  - 2019//
TI  - An information retrieval approach to ICD-10 classification
JO  - Studies in health technology and informatics
A1  - Park, Hee
A1  - Castaño, José
A1  - Ávila, Pilar
A1  - Pérez, David
A1  - Berinsky, Hernán
A1  - Gambarte, Laura
A1  - Luna, Daniel
A1  - Otero, Carlos
SP  - 1564
EP  - 1565
VL  - 264
IS  - 
N2  - ICD-10 (International Classification of Diseases 10th revision) is a classification code for diseases, signs and symptoms, abnormal findings, complaints, social circumstances, and external causes of injury or diseases. This paper describes an automatic information retrieval approach to map free-text disease descriptions to ICD-10 codes. We use the Hospital Italiano de Buenos Aires (HIBA) terminology data mapped to ICD-10 codes as indexed data to find an appropriate ICD-10 code using search engine similarity metrics.<p />  <p>Language: en</p>
LA  - en
SN  - 0926-9630
UR  - http://dx.doi.org/10.3233/SHTI190536
ID  - ref1
ER  -