scholarly journals A Silver Standard Biomedical Corpus for Arabic Language

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Nada Boudjellal ◽  
Huaping Zhang ◽  
Asif Khan ◽  
Arshad Ahmad ◽  
Rashid Naseem ◽  
...  
Keyword(s):  
Information Extraction ◽  
English Language ◽  
Arabic Language ◽  
Biomedical Domain ◽  
Language System ◽  
Unified Medical Language System ◽  
Silver Standard ◽  
Medical Language ◽  
System Concept ◽  
Short Time

The rapidly growing data in many areas, as well as in the biomedical domain, require the assistance of information extraction systems to acquire the much needed knowledge about specific entities such as proteins, drugs, or diseases practically within a short time. Annotated corpora serve the purpose of facilitating the process of building NLP systems. While colossal work has been done in this area for English language, other languages like Arabic seem to lack these resources, especially in the healthcare area. Therefore, in this work, we present a method to develop a silver standard medical corpus for the Arabic language with a dictionary as a minimal supervision tool. The corpus contains 49,856 sentences tagged with 13 entity types corresponding to a subset of UMLS (Unified Medical Language System) concept types. The evaluation of a subset of corpus showed the efficiency of the method used to annotate it with 90% accuracy.

scholarly journals A transformation-based method for auditing the IS-A hierarchy of biomedical terminologies in the Unified Medical Language System

2020 ◽  
Vol 27 (10) ◽  
pp. 1568-1575 ◽  
Author(s):  
Fengbo Zheng ◽  
Jay Shi ◽  
Yuntao Yang ◽  
W Jim Zheng ◽  
Licong Cui
Keyword(s):  
Gene Ontology ◽  
Information Systems ◽  
Random Sample ◽  
English Language ◽  
Snomed Ct ◽  
Domain Experts ◽  
Language System ◽  
Unified Medical Language System ◽  
Medical Language ◽  
Original Concept

Abstract Objective The Unified Medical Language System (UMLS) integrates various source terminologies to support interoperability between biomedical information systems. In this article, we introduce a novel transformation-based auditing method that leverages the UMLS knowledge to systematically identify missing hierarchical IS-A relations in the source terminologies. Materials and Methods Given a concept name in the UMLS, we first identify its base and secondary noun chunks. For each identified noun chunk, we generate replacement candidates that are more general than the noun chunk. Then, we replace the noun chunks with their replacement candidates to generate new potential concept names that may serve as supertypes of the original concept. If a newly generated name is an existing concept name in the same source terminology with the original concept, then a potentially missing IS-A relation between the original and the new concept is identified. Results Applying our transformation-based method to English-language concept names in the UMLS (2019AB release), a total of 39 359 potentially missing IS-A relations were detected in 13 source terminologies. Domain experts evaluated a random sample of 200 potentially missing IS-A relations identified in the SNOMED CT (U.S. edition) and 100 in Gene Ontology. A total of 173 of 200 and 63 of 100 potentially missing IS-A relations were confirmed by domain experts, indicating that our method achieved a precision of 86.5% and 63% for the SNOMED CT and Gene Ontology, respectively. Conclusions Our results showed that our transformation-based method is effective in identifying missing IS-A relations in the UMLS source terminologies.

A Study of Effective Unified Medical Language System Concept Indexing in Radiology Reports

2004 ◽  
Vol 10 (3) ◽  
pp. 295
Author(s):  
Jung Ae Lee ◽  
Hwa Jeong Seo ◽  
Kee Won Kim ◽  
Mingoo Kim ◽  
Seung Kwon Hong ◽  
...  
Keyword(s):  
Language System ◽  
Unified Medical Language System ◽  
Radiology Reports ◽  
Medical Language ◽  
System Concept

IAIMS and UMLS at Columbia-Presbyterian Medical Center

1991 ◽  
Vol 11 (4_suppl) ◽  
pp. S89-S93 ◽  
Author(s):  
James J. Cimino ◽  
Soumitra Sengupta
Keyword(s):  
Information Management ◽  
Management System ◽  
Medical Center ◽  
Information Management System ◽  
Language System ◽  
Unified Medical Language System ◽  
Medical Language ◽  
Academic Information

The authors use an example to illustrate combining Integrated Academic Information Management System (IAIMS) components (applications) into an integral whole, to facilitate using the components simultaneously or in sequence. They examine a model for classifying IAIMS systems, proposing ways in which the Unified Medical Language System (UMLS) can be exploited in them.

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