@inproceedings{51221d0a0fcd47e494f25eb88da6e8e8,
title = "Generating Training Data for Concept-Mining for an 'Interface Terminology' Annotating Cardiology EHRs",
abstract = "Clinical data stored in EHRs could provide valuable knowledge for research if it were annotated properly. However, almost no EHR notes are currently annotated as the performance of off the shelf annotation tools is unsatisfactory. Concentrating on the cardiology specialty, we propose to design a Cardiology Interface Terminology dedicated to the annotation of EHR notes in cardiology. This interface terminology will be developed by the addition of high granularity concepts, mined from cardiology EHR notes, to an initial version reusing SNOMED CT cardiology subhierarchies. Using text mining NLP tools with machine learning for extending this interface terminology requires proper training data. In this paper, we discuss concept-mining of EHR notes, using concatenation and anchoring operations iteratively to create such training data. This approach can be applied to other medical specialties.",
keywords = "Cardiology EHR, EHR annotation, enriching interface terminology, interface terminologies, training data",
author = "Keloth, {Vipina K.} and Shuxin Zhou and Einstein, {Andrew J.} and Gai Elhanan and Yan Chen and James Geller and Yehoshua Perl",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020 ; Conference date: 16-12-2020 Through 19-12-2020",
year = "2020",
month = dec,
day = "16",
doi = "10.1109/BIBM49941.2020.9313435",
language = "English (US)",
series = "Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1728--1735",
editor = "Taesung Park and Young-Rae Cho and Hu, {Xiaohua Tony} and Illhoi Yoo and Woo, {Hyun Goo} and Jianxin Wang and Julio Facelli and Seungyoon Nam and Mingon Kang",
booktitle = "Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020",
address = "United States",
}