TY - GEN
T1 - Vocabulary Domain Prediction for Pathological Report Analysis Using ICD-O3
AU - Choi, Sunho
AU - Kim, Insoo
AU - Kim, Yoojoong
AU - Seok, Junhee
N1 - Funding Information:
This work was supported by the grants of the NRF of Korea (NRF-2017R1C1B2002850) and KHIDI1(HI19C0360, HI19C0201). The correspondence should be addressed to jseok14@korea.ac.kr
Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Pathology is a basic medical field of diagnosing diseases and describing their conditions that are presented in a medical report form. It is important to understand the medical domain from various medical terms in the reports, such as observation parts, disease conditions and names, and measuring units. In this paper, we apply various machine learning algorithms to predict the domain of untrained terms used in real pathological reports. Here, we focus on the oncology section with ICD-O3. The analysis result shows the possibility and potential usefulness of the domain prediction using medical terms.
AB - Pathology is a basic medical field of diagnosing diseases and describing their conditions that are presented in a medical report form. It is important to understand the medical domain from various medical terms in the reports, such as observation parts, disease conditions and names, and measuring units. In this paper, we apply various machine learning algorithms to predict the domain of untrained terms used in real pathological reports. Here, we focus on the oncology section with ICD-O3. The analysis result shows the possibility and potential usefulness of the domain prediction using medical terms.
KW - ICD-O3
KW - Machine Learning
KW - Natural Language Processing
KW - Pathology
KW - Text Classification
UR - http://www.scopus.com/inward/record.url?scp=85071843428&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2019.8806190
DO - 10.1109/ICUFN.2019.8806190
M3 - Conference contribution
AN - SCOPUS:85071843428
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 520
EP - 522
BT - ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
T2 - 11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
Y2 - 2 July 2019 through 5 July 2019
ER -