Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Omid Ghiasvand"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss S3, Pp 1-10 (2022)
Abstract Background Clinical trial protocols are the foundation for advancing medical sciences, however, the extraction of accurate and meaningful information from the original clinical trials is very challenging due to the complex and unstructured t
Externí odkaz:
https://doaj.org/article/0c88bc5c228b4e6f986e36f586c0b31c
Autor:
Omid Ghiasvand, Rohit J. Kate
Publikováno v:
Informatics in Medicine Unlocked, Vol 13, Iss , Pp 122-127 (2018)
Background: Named entity recognition (NER) systems are commonly built using supervised methods that use machine learning to learn from corpora manually annotated with named entities. However, manually annotating corpora is very expensive and laboriou
Externí odkaz:
https://doaj.org/article/8c794780b8994974bf2b9c78fc0da0c3
Autor:
Mary Shimoyama, Stanley J. F. Laulederkind, Jeff De Pons, Rajni Nigam, Jennifer R. Smith, Marek Tutaj, Victoria Petri, G. Thomas Hayman, Shur-Jen Wang, Omid Ghiasvand, Jyothi Thota, Melinda R. Dwinell
Publikováno v:
Disease Models & Mechanisms, Vol 9, Iss 10, Pp 1089-1095 (2016)
Rattus norvegicus, the laboratory rat, has been a crucial model for studies of the environmental and genetic factors associated with human diseases for over 150 years. It is the primary model organism for toxicology and pharmacology studies, and has
Externí odkaz:
https://doaj.org/article/cf1daa14245940ea9f20e9d4948e36f3
Publikováno v:
AMIA Annu Symp Proc
Extracting clinical concepts and their relations from clinical narratives is one of the fundamental tasks in clinical natural language processing. Traditional solutions often separate this task into two subtasks with a pipeline architecture, which fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::97923e7ee49e11ad9119bce0bdc0a65e
https://pubmed.ncbi.nlm.nih.gov/34457146
https://pubmed.ncbi.nlm.nih.gov/34457146
Publikováno v:
ICHI
Named entity recognition (NER) is fundamental to the computerization of clinical trial eligibility criteria text. In this study, we fine-tuned pretrained contextual language models to support the NER task on clinical trial eligibility criteria. We sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::197f21ff30a4282161dbf887d90d77bc
https://doi.org/10.1109/ichi52183.2021.00095
https://doi.org/10.1109/ichi52183.2021.00095
Autor:
Victoria Petri, Stanley J. F. Laulederkind, G. Thomas Hayman, Melinda R. Dwinell, Matthew Hoffman, Omid Ghiasvand, Jyothi Thota, Shur-Jen Wang, Jeff De Pons, Monika Tutaj, Mary Shimoyama, Marek Tutaj, Jennifer R. Smith
Publikováno v:
Methods in Molecular Biology ISBN: 9781493977369
The laboratory rat, Rattus norvegicus, is an important model of human health and disease, and experimental findings in the rat have relevance to human physiology and disease. The Rat Genome Database (RGD, http://rgd.mcw.edu ) is a model organism data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d60e25d9f4652b2c72bae3bb0b92bc7
https://pubmed.ncbi.nlm.nih.gov/29761460
https://pubmed.ncbi.nlm.nih.gov/29761460
Autor:
Omid Ghiasvand, Mary Shimoyama
Publikováno v:
BCB
In model organism databases, one of the important tasks is to convert free text in biomedical literature to a structured data format. Curators in the Rat Genome Database (RGD), the primary source of rat genomic, genetic, and physiological data, spend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d63589f0fb9356c3a32c3aa15eee1124
https://doi.org/10.1145/3107411.3108198
https://doi.org/10.1145/3107411.3108198
Autor:
Omid Ghiasvand, Mary Shimoyama
Publikováno v:
BCB
In model organism databases, one of the important tasks is to convert free text in biomedical literature to a structured data format. Curators in the Rat Genome Database (RGD), the primary source of rat genomic, genetic, and physiological data, spend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d3365a661aa8004fbdea26da77e2a8
https://doi.org/10.1145/2975167.2985631
https://doi.org/10.1145/2975167.2985631
Autor:
Omid Ghiasvand, Rohit J. Kate
Publikováno v:
ICHI
Annotating clinical notes manually is very labor-intensive and needs expertise in the area of annotation. Thus annotation is a highly expensive task not only in human resource but also in financial aspects. Moreover mistakes, missed tags, and inconsi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1708d624e87be066580ff9a69f6966
https://doi.org/10.1109/ichi.2015.85
https://doi.org/10.1109/ichi.2015.85
Autor:
Omid Ghiasvand, Rohit J. Kate
Publikováno v:
SemEval@NAACL-HLT
In this paper the system that was developed by Team UWM for the Task 14 of SemEval 2015 competition is described. Task 14 included two tasks: Task 1 was identification of disorder mentions and their normalization, and Task 2 was identification of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::979770432a7023bb4a8bb3cc58c68862
https://doi.org/10.18653/v1/s15-2066
https://doi.org/10.18653/v1/s15-2066