SapBERT-Based Medical Concept Normalization Using SNOMED CT

被引：2

作者：

Abdulnazar, Akhila ^{[1
,2
]}

Kreuzthaler, Markus ^{[1
]}

Roller, Roland ^{[3
]}

Schulz, Stefan ^{[1
]}

机构：

[1] Med Univ Graz, Inst Med Informat Stat & Documentat, Graz, Austria

[2] Ctr Biomarker Res Med, Graz, Austria

[3] German Res Ctr Artificial Intelligence, Kaiserslautern, Germany

来源：

CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023 | 2023年 / 302卷

关键词：

Medical Concept Mapping; SNOMED CT;

D O I：

10.3233/SHTI230278

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Word vector representations, known as embeddings, are commonly used for natural language processing. Particularly, contextualized representations have been very successful recently. In this work, we analyze the impact of contextualized and non-contextualized embeddings for medical concept normalization, mapping clinical terms via a k-NN approach to SNOMED CT. The non-contextualized concept mapping resulted in a much better performance (F1-score = 0.853) than the contextualized representation (F-1-score = 0.322).

引用

页码：825 / 826

页数：2

共 50 条

[41] Transplant dermatology clinical registry using SNOMED CT
Mumford, Blake
Chong, Alvin
AUSTRALASIAN JOURNAL OF DERMATOLOGY, 2022, 63 : 107 - 108
[42] Aggregation and Visualization of Laboratory Data by Using Ontological Tools Based on LOINC and SNOMED CT
Drenkhahn, Cora
Duhm-Harbeck, Petra
Ingenerf, Josef
MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 108 - 112
[43] Automated clinical pathway standardization using SNOMED CT- based semantic relatedness
Alahmar, Ayman
AlMousa, Mohannad
Benlamri, Rachid
DIGITAL HEALTH, 2022, 8
[44] CMCN: Chinese medical concept normalization using continual learning and knowledge-enhanced
Han, Pu
Li, Xiong
Zhang, Zhanpeng
Zhong, Yule
Gu, Liang
Hua, Yingying
Li, Xiaoyan
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2024, 157
[45] Reconciliation of SNOMED CT and domain clinical model for interoperable medical knowledge creation
Ali, Taqdir
Lee, Sungyoung
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2017, : 2654 - 2657
[46] Review of the 2023 Korean Society of Medical Informatics Summer Camp on SNOMED CT
Park, Hyeoun-Ae
HEALTHCARE INFORMATICS RESEARCH, 2023, 29 (04) : 283 - 285
[47] ALGORITHMS FOR MEASURING SIMILARITY BETWEEN ELH CONCEPT DESCRIPTIONS: A CASE STUDY ON SNOMED CT
Tongphu, Suwan
Suntisrivaraporn, Boontawee
COMPUTING AND INFORMATICS, 2017, 36 (04) : 733 - 764
[48] Identifying Problematic Concepts in SNOMED CT using a Lexical Approach
Agrawal, Ankur
Perl, Yehoshua
Elhanan, Gai
MEDINFO 2013: PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2, 2013, 192 : 773 - 777
[49] A Novel Approach to Create a Machine Readable Concept Model for Validating SNOMED CT Concept Post-coordination
Lopetegui, Marcelo
Mauro, Alejandro
MEDINFO 2015: EHEALTH-ENABLED HEALTH, 2015, 216 : 1087 - 1087
[50] A Web-based SNOMED CT Browser: Distributed and Real-time Use of SNOMED CT During the Clinical Research Process
Richesson, Rachel
Syed, Asif
Guillette, Heather
Tuttle, Mark S.
Krischer, Jeffrey
MEDINFO 2007: PROCEEDINGS OF THE 12TH WORLD CONGRESS ON HEALTH (MEDICAL) INFORMATICS, PTS 1 AND 2: BUILDING SUSTAINABLE HEALTH SYSTEMS, 2007, 129 : 631 - +

← 1 2 3 4 5 →