Yehoshua Perl
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Explore the profile of Yehoshua Perl including associated specialties, affiliations and a list of published articles.
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Articles
88
Citations
921
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Recent Articles
1.
Zheng L, Perl Y, He Y
BMC Med Inform Decis Mak
. 2023 May;
23(Suppl 1):88.
PMID: 37161560
Background: The extensive international research for medications and vaccines for the devastating COVID-19 pandemic requires a standard reference ontology. Among the current COVID-19 ontologies, the Coronavirus Infectious Disease Ontology (CIDO)...
2.
Keloth V, Zhou S, Lindemann L, Zheng L, Elhanan G, Einstein A, et al.
BMC Med Inform Decis Mak
. 2023 Feb;
23(Suppl 1):40.
PMID: 36829139
Background: Two years into the COVID-19 pandemic and with more than five million deaths worldwide, the healthcare establishment continues to struggle with every new wave of the pandemic resulting from...
3.
He Y, Yu H, Huffman A, Lin A, Natale D, Beverley J, et al.
J Biomed Semantics
. 2022 Oct;
13(1):25.
PMID: 36271389
Background: The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the...
4.
Liu C, Lee J, Ta C, Soroush A, Rogers J, Kim J, et al.
JMIR Public Health Surveill
. 2022 Apr;
8(5):e35311.
PMID: 35486806
Background: COVID-19 messenger RNA (mRNA) vaccines have demonstrated efficacy and effectiveness in preventing symptomatic COVID-19, while being relatively safe in trial studies. However, vaccine breakthrough infections have been reported. Objective:...
5.
Zheng L, Perl Y, He Y, Ochs C, Geller J, Liu H, et al.
J Biomed Inform
. 2021 Jul;
120:103861.
PMID: 34224898
The current intensive research on potential remedies and vaccinations for COVID-19 would greatly benefit from an ontology of standardized COVID terms. The Coronavirus Infectious Disease Ontology (CIDO) is the largest...
6.
Zheng L, Min H, Chen Y, Keloth V, Geller J, Perl Y, et al.
BMC Med Inform Decis Mak
. 2020 Dec;
20(Suppl 10):296.
PMID: 33319713
Background: Summarization networks are compact summaries of ontologies. The "Big Picture" view offered by summarization networks enables to identify sets of concepts that are more likely to have errors than...
7.
Zheng L, Chen Y, Min H, Hildebrand P, Liu H, Halper M, et al.
BMC Med Inform Decis Mak
. 2020 Dec;
20(Suppl 10):305.
PMID: 33319709
Background: Ontologies house various kinds of domain knowledge in formal structures, primarily in the form of concepts and the associative relationships between them. Ontologies have become integral components of many...
8.
Liu H, Perl Y, Geller J
J Biomed Inform
. 2020 Oct;
112:103607.
PMID: 33098987
The comprehensive modeling and hierarchical positioning of a new concept in an ontology heavily relies on its set of proper subsumption relationships (IS-As) to other concepts. Identifying a concept's IS-A...
9.
Zheng L, He Z, Wei D, Keloth V, Fan J, Lindemann L, et al.
J Am Med Inform Assoc
. 2020 Aug;
27(10):1625-1638.
PMID: 32766692
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...
10.
Liu H, Perl Y, Geller J
AMIA Annu Symp Proc
. 2020 Apr;
2019:1129-1138.
PMID: 32308910
With advances in Machine Learning (ML), neural network-based methods, such as Convolutional/Recurrent Neural Networks, have been proposed to assist terminology curators in the development and maintenance of terminologies. Bidirectional Encoder...