Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1986 1
1988 1
1989 1
1990 2
1991 21
1992 22
1993 42
1994 35
1995 34
1996 30
1997 26
1998 52
1999 36
2000 39
2001 43
2002 40
2003 79
2004 51
2005 74
2006 82
2007 79
2008 77
2009 57
2010 52
2011 56
2012 64
2013 66
2014 67
2015 55
2016 53
2017 63
2018 63
2019 62
2020 72
2021 62
2022 40
Text availability
Article attribute
Article type
Publication date

Search Results

1,589 results
Results by year
Filters applied: . Clear all
Page 1
Cross-lingual Unified Medical Language System entity linking in online health communities.
Bitton Y, Cohen R, Schifter T, Bachmat E, Elhadad M, Elhadad N. Bitton Y, et al. J Am Med Inform Assoc. 2020 Oct 1;27(10):1585-1592. doi: 10.1093/jamia/ocaa150. J Am Med Inform Assoc. 2020. PMID: 32910823 Free PMC article.
Such transliterations introduce high variability in text and challenge text-analytics methods. To reduce their variability, medical terms must be normalized, such as linking them to Unified Medical Language System (UMLS) concepts. ...Our …
Such transliterations introduce high variability in text and challenge text-analytics methods. To reduce their variability, medical t …
A review of auditing techniques for the Unified Medical Language System.
Zheng L, He Z, Wei D, Keloth V, Fan JW, Lindemann L, Zhu X, Cimino JJ, Perl Y. Zheng L, et al. J Am Med Inform Assoc. 2020 Oct 1;27(10):1625-1638. doi: 10.1093/jamia/ocaa108. J Am Med Inform Assoc. 2020. PMID: 32766692 Free PMC article. Review.
OBJECTIVE: The study sought to describe the literature related to the development of methods for auditing the Unified Medical Language System (UMLS), with particular attention to identifying errors and inconsistencies of attributes of the concep …
OBJECTIVE: The study sought to describe the literature related to the development of methods for auditing the Unified Medical
The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts.
Weinzierl MA, Maldonado R, Harabagiu SM. Weinzierl MA, et al. J Am Med Inform Assoc. 2020 Oct 1;27(10):1556-1567. doi: 10.1093/jamia/ocaa205. J Am Med Inform Assoc. 2020. PMID: 33029619 Free PMC article.
OBJECTIVE: We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts. ...CONCLUSIONS: Incorporating LKEs infor …
OBJECTIVE: We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS
Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization.
Xu D, Gopale M, Zhang J, Brown K, Begoli E, Bethard S. Xu D, et al. J Am Med Inform Assoc. 2020 Oct 1;27(10):1510-1519. doi: 10.1093/jamia/ocaa080. J Am Med Inform Assoc. 2020. PMID: 32719838 Free PMC article.
MATERIALS AND METHODS: The shared task provided 13 609 concept mentions drawn from 100 discharge summaries. We first design a sieve-based system that uses Lucene indices over the training data, Unified Medical Language System (UMLS) prefe …
MATERIALS AND METHODS: The shared task provided 13 609 concept mentions drawn from 100 discharge summaries. We first design a sieve-based …
Using the Unified Medical Language System to Expand the Operative Stress Score - First Use Case.
Reitz KM, Hall DE, Shinall MC Jr, Shireman PK, Silverstein JC. Reitz KM, et al. J Surg Res. 2021 Dec;268:552-561. doi: 10.1016/j.jss.2021.07.030. Epub 2021 Aug 28. J Surg Res. 2021. PMID: 34464893
BACKGROUND: The Unified Medical Language System (UMLS) maps relationships between and within >100 biomedical vocabularies, including Current Procedural Terminology (CPT) codes, creating a powerful knowledge resource which can accelerate clini …
BACKGROUND: The Unified Medical Language System (UMLS) maps relationships between and within >100 biom …
Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?
Wang Y, Coiera E, Magrabi F. Wang Y, et al. J Am Med Inform Assoc. 2020 Oct 1;27(10):1502-1509. doi: 10.1093/jamia/ocaa082. J Am Med Inform Assoc. 2020. PMID: 32574362 Free PMC article.
OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity. ...Concepts were extracted fro …
OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) s …
Something New and Different: The Unified Medical Language System.
Humphreys BL, Tuttle MS. Humphreys BL, et al. Stud Health Technol Inform. 2022 Feb 1;288:100-112. doi: 10.3233/SHTI210985. Stud Health Technol Inform. 2022. PMID: 35102832
National Library of Medicine in 1984 and quickly launched the Unified Medical Language System (UMLS) research and development project to help computer understand biomedical meaning and to enable retrieval and integration of information from disp …
National Library of Medicine in 1984 and quickly launched the Unified Medical Language System (UMLS) rese …
Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis.
Wu ST, Liu H, Li D, Tao C, Musen MA, Chute CG, Shah NH. Wu ST, et al. J Am Med Inform Assoc. 2012 Jun;19(e1):e149-56. doi: 10.1136/amiajnl-2011-000744. Epub 2012 Apr 4. J Am Med Inform Assoc. 2012. PMID: 22493050 Free PMC article.
OBJECTIVE: To characterise empirical instances of Unified Medical Language System (UMLS) Metathesaurus term strings in a large clinical corpus, and to illustrate what types of term characteristics are generalisable across data sources. ...Of 15 …
OBJECTIVE: To characterise empirical instances of Unified Medical Language System (UMLS) Metathesaurus te …
Identifying Emergency Department Symptom-Based Diagnoses with the Unified Medical Language System.
Slovis BH, McCarthy DM, Nord G, Doty AM, Piserchia K, Rising KL. Slovis BH, et al. West J Emerg Med. 2019 Oct 24;20(6):910-917. doi: 10.5811/westjem.2019.8.44230. West J Emerg Med. 2019. PMID: 31738718 Free PMC article.
We describe a method for automated identification of SBDs from ICD-10 codes using the Unified Medical Language System (UMLS) Metathesaurus. METHODS: We mapped discharge diagnosis, with use of ICD-10 codes from a one-month period of ED discharges …
We describe a method for automated identification of SBDs from ICD-10 codes using the Unified Medical Language Syste
Integrating Unified Medical Language System and Kleinberg's Burst Detection Algorithm into Research Topics of Medications for Post-Traumatic Stress Disorder.
Xu S, Xu D, Wen L, Zhu C, Yang Y, Han S, Guan P. Xu S, et al. Drug Des Devel Ther. 2020 Sep 24;14:3899-3913. doi: 10.2147/DDDT.S270379. eCollection 2020. Drug Des Devel Ther. 2020. PMID: 33061296 Free PMC article.
The present study was designed to analyze the literature on medications for PTSD and explore high-frequency common drugs and low-frequency burst drugs by burst detection algorithm combined with Unified Medical Language System (UMLS) and provide …
The present study was designed to analyze the literature on medications for PTSD and explore high-frequency common drugs and low-frequency b …
1,589 results