term identification
Recently Published Documents


TOTAL DOCUMENTS

56
(FIVE YEARS 9)

H-INDEX

14
(FIVE YEARS 1)

2021 ◽  
Author(s):  
Sandaru Seneviratne ◽  
Artem Lenskiy ◽  
Christopher Nolan ◽  
Eleni Daskalaki ◽  
Hanna Suominen

Complexity and domain-specificity make medical text hard to understand for patients and their next of kin. To simplify such text, this paper explored how word and character level information can be leveraged to identify medical terms when training data is limited. We created a dataset of medical and general terms using the Human Disease Ontology from BioPortal and Wikipedia pages. Our results from 10-fold cross validation indicated that convolutional neural networks (CNNs) and transformers perform competitively. The best F score of 93.9% was achieved by a CNN trained on both word and character level embeddings. Statistical significance tests demonstrated that general word embeddings provide rich word representations for medical term identification. Consequently, focusing on words is favorable for medical term identification if using deep learning architectures.


2020 ◽  
Author(s):  
Nikolajs Bumanis ◽  
◽  
Gatis Vitols ◽  
Irina Arhipova ◽  
Inga Meirane ◽  
...  

Deep learning algorithms are becoming default solution for application in business processes where recognition, identification and automated learning are involved. For human identification, analysis of various features can be applied. Face feature analysis is most popular method for identification of person in various stages of life, including children and infants. The aim of this research was to propose deep learning solution for long-term identification of children in educational institutions. Previously proposed conceptual model for long-term re-identification was enhanced. The enhancements include processing of unexpected persons’ scenarios, knowledge base improvements based on results of supervised and unsupervised learning, implementation of video surveillance zones within educational institutions and object tracking results’ data chaining between multiple logical processes. Object tracking results are the solution we found for long-term identification realization.


Author(s):  
James Purdon

The term “identification” denotes both a social procedure (the act of recognition by which a person is acknowledged, formally or informally, to be a specific individual) and a genre of text (the marks, signs, or documents, such as signets, signatures, passports, ID cards, and birth certificates, which formally record and enable that procedure). Like many forms of literary narrative, the genres of identification are explicitly concerned with questions of the stability—or mutability—of the self. Who is this person? Do people change? If so, what, if anything, remains constant: how can we be confident that this is “the same” person? How much control do individuals have over the recording and representation of their personal characteristics? And how do those objective records relate, or fail to relate, to lived experiences of unique subjectivity? One distinction to be drawn between literary narrative and identification is the different value each has tended to give to temporality. Put simply, an identificatory technique is deemed to be the more effective the more capable it is of excluding from the process of identification those personal characteristics that might alter over time. Fingerprints and DNA, for instance, are among the most valuable identificatory tools because they remain constant from before birth until after death. Photographs, meanwhile, possess some identificatory value, but many factors can cause rapid and drastic changes in an individual’s physical appearance: this is one reason passports and similar documents include expiration dates and must be renewed. Narratives, on the other hand, are by definition temporal structures. They tell us that certain things happened or failed to happen. They frequently register and explore change and transition, and even narratives concerned with stasis and changelessness are obliged to acknowledge and account for the passage of time. In this sense, identification and narrative would seem to be at odds with one another. Identification exists to formalize the attribution of identity by rendering narrative irrelevant: the border guard who demands a valid passport will not accept an autobiography in its place. Yet several features of identification complicate this apparent antagonism. Firstly, identification documents function not only to record identities, but actively to constitute both individual identities and the broader concept of identity in a given society. They become not just records which diminish the significance of narrative, but constituent parts of the way individuals understand their place in society and by extension their own experience. Identification becomes part of the stories that individuals tell themselves, and tell about themselves. Secondly, because officially ratified forms of identification have a unique probative force, they themselves have become powerful tools in the production of stories and selves. The criminal who wishes to manufacture or steal a new identity must become adept in the deployment of official documents as a way of authenticating a fictitious claim to recognition. Finally—as countless scenes of identification trouble in fictional works suggest—the moment at which citizens are obliged to identify themselves by recourse to the data contained in identity documents frequently generates a reaction in the form of a heightened sense of individuality. The modern citizen is never more conscious of the complexity of their own story than at the moment when they hand over the misleading simplification, printed on passport or ID card, which constitutes their “identity.” Over the 20th century in particular, as modern systems of identity management became ever more technologically complex and bureaucratically stringent, literary works found new ways to describe and explain the effects of such systems on individuals and on the societies they inhabit.


Author(s):  
Ailin Ren ◽  
Dachuan Zhang ◽  
Yu Tian ◽  
Pengli Cai ◽  
Tong Zhang ◽  
...  

Abstract Motivation Rapid advances in sequencing technology have resulted huge increases in the accessibility of sequencing data. Moreover, researchers are focusing more on organisms that lack a reference genome. However, few easy-to-use web servers focusing on annotations of enzymatic functions are available. Accordingly, in this study, we describe Transcriptor, a novel platform for annotating transcripts encoding enzymes. Results The transcripts were evaluated using more than 300 000 in-house enzymatic reactions through bridges of Enzyme Commission numbers. Transcriptor also enabled ontology term identification and along with associated enzymes, visualization and prediction of domains and annotation of regulatory structure, such as long noncoding RNAs, which could facilitate the discovery of new functions in model or nonmodel species. Transcriptor may have applications in elucidation of the roles of organs transcriptomes and secondary metabolite biosynthesis in organisms lacking a reference genome. Availability and implementation Transcriptor is available at http://design.rxnfinder.org/transcriptor/. Supplementary information Supplementary data are available at Bioinformatics online.


2020 ◽  
Vol 10 (5) ◽  
pp. 1726 ◽  
Author(s):  
Pilar López-Úbeda ◽  
Manuel Carlos Díaz-Galiano ◽  
Arturo Montejo-Ráez ◽  
María-Teresa Martín-Valdivia ◽  
L. Alfonso Ureña-López

In this paper a novel architecture to build biomedical term identification systems is presented. The architecture combines several sources of information and knowledge bases to provide practical and exploration-enabled biomedical term identification systems. We have implemented a system to evidence the convenience of the different modules considered in the architecture. Our system includes medical term identification, retrieval of specialized literature and semantic concept browsing from medical ontologies. By applying several Natural Language Processing (NLP) technologies, we have developed a prototype that offers an easy interface for helping to understand biomedical specialized terminology present in Spanish medical texts. The result is a system that performs term identification of medical concepts over any textual document written in Spanish. It is possible to perform a sub-concept selection using the previously identified terms to accomplish a fine-tune retrieval process over resources like SciELO, Google Scholar and MedLine. Moreover, the system generates a conceptual graph which semantically relates all the terms found in the text. In order to evaluate our proposal on medical term identification, we present the results obtained by our system using the MANTRA corpus and compare its performance with the Freeling-Med tool.


Fuel ◽  
2018 ◽  
Vol 234 ◽  
pp. 247-255 ◽  
Author(s):  
Amina Bouzarour ◽  
Victor Pozzobon ◽  
Patrick Perré ◽  
Sylvain Salvador

Sign in / Sign up

Export Citation Format

Share Document