@article{ref1,
title="An information retrieval approach to ICD-10 classification",
journal="Studies in health technology and informatics",
year="2019",
author="Park, Hee and Castaño, José and Ávila, Pilar and Pérez, David and Berinsky, Hernán and Gambarte, Laura and Luna, Daniel and Otero, Carlos",
volume="264",
number="",
pages="1564-1565",
abstract="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>",
language="en",
issn="0926-9630",
doi="10.3233/SHTI190536",
url="http://dx.doi.org/10.3233/SHTI190536"
}