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Experiencer Detection and Automated Extraction of a Family Disease Tree from Medical Texts in Russian Language
[chapter]
2020
Lecture Notes in Computer Science
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In order to find the facts about the right person (experiencer) and convert the unstructured medical text into structured information, we developed a module of experiencer detection. ...
Text descriptions in natural language are an essential part of electronic health records (EHRs). ...
This work is financially supported by National Center for Cognitive Research of ITMO University. ...
doi:10.1007/978-3-030-50423-6_45
fatcat:zwbiwdjpcvgkna5igjk3gkjjhm
Negation Detection for Clinical Text Mining in Russian
[article]
2020
arXiv
pre-print
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In Russia, there are no instruments for natural language processing to cope with problems of medical records. This paper is devoted to a module of negation detection. ...
The corpus-free machine learning method is based on gradient boosting classifier is used to detect whether a disease is denied, not mentioned or presented in the text. ...
Acknowledgements This research is financially supported by The Russian Science Foundation, Agreement #19-11-00326. ...
arXiv:2004.04980v1
fatcat:jlxri7ciebgrrdt4alct4wwahi
Negation Detection for Clinical Text Mining in Russian
2020
Studies in Health Technology and Informatics
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In Russia, there are no instruments for natural language processing to cope with problems of medical records. This paper is devoted to a module of negation detection. ...
The corpus-free machine learning method is based on gradient boosting classifier is used to detect whether a disease is denied, not mentioned or presented in the text. ...
Acknowledgements This research is financially supported by The Russian Science Foundation, Agreement #19-11-00326. ...
doi:10.3233/shti200179
pmid:32570403
fatcat:lsshzuxu4vc5bmxsoagbzy7ztm
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
2022
Applied Sciences
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Two of them—medication and disease—include a set of attributes. A part of the corpus has a coreference annotation with 1560 coreference chains in 300 documents. ...
Those components include methods for vector representation of words, types of language models pre-trained for the Russian language, ways of text normalization, and other pre-processing methods. ...
At the same time, it does not cause a significant change in the disease and medication detection accuracy (see Table 14 ). ...
doi:10.3390/app12010491
fatcat:yi5ro74tuvb7zayezftzbvnpvu
Natural Language and Text Processing in Biomedicine
[chapter]
2006
Health Informatics Series
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Any opinions, findings, conclusions, or Natural Language and Text Processing in Biomedicine 341 recommendations expressed in the material are those of the authors and do not necessarily reflect the views ...
Acknowledgments The material in this chapter is derived in part from work sponsored by the U.S. Government for the National Academies. ...
of a drug. • Text generation formulates natural language sentences from a given source of information, usually structured data. ...
doi:10.1007/0-387-36278-9_8
fatcat:spcx2bkswbczdi6mfchqiji4em
5th European Congress on eCardiology and eHealth (Abstract book) (text is available in electronic version)
2018
Russian Journal of Cardiology
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physician and family doctors, general practitioners, paramedics from medical and obstetric point. etc. ...
Telemedicine consultations the availability of medical care for patients, improve the continuity of medical care and the logistics of patients in a three-tier health care system in the Russian Federation ...
We developed an automated NLP method based on MetaMap and the Unified Medical Language System (UMLS) to extract medical concepts from the apps' description reported on the store webpages. ...
doaj:11a9913f677d4e3b8e476244b9c6f87f
fatcat:ild2xmkdufg7np4f4aqtft6sry
Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records
2019
Computational and Mathematical Methods in Medicine
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We present a method for coreference resolution in Lithuanian language and its application for processing e-health records from a hospital reception. ...
Coreference resolution is a challenging part of natural language processing (NLP) with applications in machine translation, semantic search and other information retrieval, and decision support systems ...
mobile phone [2], or to detect seasonal disease outbreaks by monitoring search engine queries [3] , and discovery of healthcare knowledge from social media [4, 5] . ...
doi:10.1155/2019/9079840
fatcat:czajdp2d6ndpvlty2kgvap5h7y
Program Committee
2006
2006 Sixth IEEE International Workshop on Source Code Analysis and Manipulation
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Coaching in Computer Assisted Language Learning using Machine Translation Technology. ...
As well as many papers on distributional semantics, there were some on extending the coverage of existing wordnets, linking wordnets to new resources (especially in the medical domain), using wordnets ...
Acknowledgments We wish to thank Georgia Sanna for the first joint analysis about the possibility of creating a wordnet for the Sardinian language. ...
doi:10.1109/scam.2006.23
dblp:conf/scam/X06c
fatcat:2dhsf7loj5hlffu2jxpmlo2qcq
Multivariate classification of patients with Alzheimer's and dementia with Lewy bodies using high-dimensional cortical thickness measurements: an MRI surface-based morphometric study
2012
Journal of Neurology
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In this context, computer-aided diagnosis (CAD), defined as a family of computational approaches developed to assist doctors in the detection of abnormalities, quantification of disease progress and differential ...
-Desikan-Killiany (DK) and Destrieux (D) atlases -to extract averaged values from the predefined regions. ...
doi:10.1007/s00415-012-6768-z
pmid:23224109
fatcat:ynen6532azf2th6tqvh647glku
CLiFF Notes: Research in the Language, Information and Computation Laboratory of the University of Pennsylvania
[article]
1995
arXiv
pre-print
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Short abstracts by computational linguistics researchers at the University of Pennsylvania describing ongoing individual and joint projects. ...
mainly interested in the automatic extraction of lexical knowledge from text. ...
Tree families represent subcategorization frames; the trees in a tree family would be related to each other transformationally in a movement-based approach. ...
arXiv:cmp-lg/9506008v1
fatcat:aidgv3pdzvfatc7yjygdvthcjq
Socio world
2020
Zenodo
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families and even in the neighbourhood of the repatriates as a "home-spoken" language... ...
He believed that religion arises from myth, and myth is a "disease of the language"; 2) Rudolph Otto viewed religion as an experience of the sacred; 3) Auguste Comte: religion is a dysfunction of human ...
Azadirachta indica (Common name: Neem; Family: Meliaceae) Leaf extract is applied externally on boils and blisters. ...
doi:10.5281/zenodo.4287791
fatcat:gxvvwmqsbbanziexqztaivpnom
Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning
[article]
2020
arXiv
pre-print
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This platform was trialled on a large text corpus of over 4 million posts collected from online support groups. ...
The capabilities of this extended platform have been demonstrated using a text corpus collected from 10 prostate cancer online support groups comprising of 609,960 prostate cancer discussions and 22,233 ...
Medical concept extraction Medical concept extraction from text is a further formidable task. ...
arXiv:2009.09078v1
fatcat:izo3eyjc4vdo3jnttt7omvsv5q
Detecting and Extracting Events from Text Documents
[article]
2016
arXiv
pre-print
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We also discuss applications of event detection and extraction systems, particularly in summarization, in the medical domain and in the context of Twitter posts. ...
We end the paper with a discussion of challenges and future directions. ...
to extract as many of them as possible in an automated fashion. ...
arXiv:1601.04012v1
fatcat:74wtgbf2qbd6lfj34jb6heh6ei
Tracing the evolution of service robotics: Insights from a topic modeling approach
2022
Technological forecasting & social change
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Furthermore, utilizing external reference texts that characterize service robots from a technical perspective, we propose and apply a novel approach to match the constructed topics to service robotics. ...
This allows us to differentiate between more and less important technological trends in robotics based on their stage of diffusion and position in the space of knowledge represented by a topic graph, where ...
If we were to include every family patent in the analysis, this would distort the text corpus in favor of the larger families. 10 We initially applied the same search strategy on the full texts of patents ...
doi:10.1016/j.techfore.2021.121280
fatcat:4dde2xx335a4le4qw2doasn4b4
EAACI Molecular Allergology User's Guide
2016
Pediatric Allergy and Immunology
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EAACI was founded in 1956 in Florence and has become the largest medical association in Europe in the field of allergy and clinical immunology. ...
The European Academy of Allergy and Clinical Immunology, EAACI, is a non-profit organisation active in the field of allergic and immunologic diseases such as asthma, rhinitis, eczema, occupational allergy ...
For Figure 2 in Chapter C03 we would like to thank. Elide Pastorella and DomingBarber would like to thank Claus Lundegaard, Jens Holm and Thomas Stranzl, ALK-Abello A/S, Denmark. ...
doi:10.1111/pai.12563
pmid:27288833
fatcat:u64c6gm5enhj7h6g4r5xddnk6u
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