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PedAM: a database for Pediatric Disease Annotation and Medicine
There is a significant number of children around the world suffering from the consequence of the misdiagnosis and ineffective treatment for various diseases. To facilitate the precision medicine in pediatrics, a database namely the Pediatric Disease Annotations & Medicines (PedAM) has been built...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753298/ https://www.ncbi.nlm.nih.gov/pubmed/29126123 http://dx.doi.org/10.1093/nar/gkx1049 |
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author | Jia, Jinmeng An, Zhongxin Ming, Yue Guo, Yongli Li, Wei Li, Xin Liang, Yunxiang Guo, Dongming Tai, Jun Chen, Geng Jin, Yaqiong Liu, Zhimei Ni, Xin Shi, Tieliu |
author_facet | Jia, Jinmeng An, Zhongxin Ming, Yue Guo, Yongli Li, Wei Li, Xin Liang, Yunxiang Guo, Dongming Tai, Jun Chen, Geng Jin, Yaqiong Liu, Zhimei Ni, Xin Shi, Tieliu |
author_sort | Jia, Jinmeng |
collection | PubMed |
description | There is a significant number of children around the world suffering from the consequence of the misdiagnosis and ineffective treatment for various diseases. To facilitate the precision medicine in pediatrics, a database namely the Pediatric Disease Annotations & Medicines (PedAM) has been built to standardize and classify pediatric diseases. The PedAM integrates both biomedical resources and clinical data from Electronic Medical Records to support the development of computational tools, by which enables robust data analysis and integration. It also uses disease-manifestation (D-M) integrated from existing biomedical ontologies as prior knowledge to automatically recognize text-mined, D-M-specific syntactic patterns from 774 514 full-text articles and 8 848 796 abstracts in MEDLINE. Additionally, disease connections based on phenotypes or genes can be visualized on the web page of PedAM. Currently, the PedAM contains standardized 8528 pediatric disease terms (4542 unique disease concepts and 3986 synonyms) with eight annotation fields for each disease, including definition synonyms, gene, symptom, cross-reference (Xref), human phenotypes and its corresponding phenotypes in the mouse. The database PedAM is freely accessible at http://www.unimd.org/pedam/. |
format | Online Article Text |
id | pubmed-5753298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57532982018-01-05 PedAM: a database for Pediatric Disease Annotation and Medicine Jia, Jinmeng An, Zhongxin Ming, Yue Guo, Yongli Li, Wei Li, Xin Liang, Yunxiang Guo, Dongming Tai, Jun Chen, Geng Jin, Yaqiong Liu, Zhimei Ni, Xin Shi, Tieliu Nucleic Acids Res Database Issue There is a significant number of children around the world suffering from the consequence of the misdiagnosis and ineffective treatment for various diseases. To facilitate the precision medicine in pediatrics, a database namely the Pediatric Disease Annotations & Medicines (PedAM) has been built to standardize and classify pediatric diseases. The PedAM integrates both biomedical resources and clinical data from Electronic Medical Records to support the development of computational tools, by which enables robust data analysis and integration. It also uses disease-manifestation (D-M) integrated from existing biomedical ontologies as prior knowledge to automatically recognize text-mined, D-M-specific syntactic patterns from 774 514 full-text articles and 8 848 796 abstracts in MEDLINE. Additionally, disease connections based on phenotypes or genes can be visualized on the web page of PedAM. Currently, the PedAM contains standardized 8528 pediatric disease terms (4542 unique disease concepts and 3986 synonyms) with eight annotation fields for each disease, including definition synonyms, gene, symptom, cross-reference (Xref), human phenotypes and its corresponding phenotypes in the mouse. The database PedAM is freely accessible at http://www.unimd.org/pedam/. Oxford University Press 2018-01-04 2017-11-06 /pmc/articles/PMC5753298/ /pubmed/29126123 http://dx.doi.org/10.1093/nar/gkx1049 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Jia, Jinmeng An, Zhongxin Ming, Yue Guo, Yongli Li, Wei Li, Xin Liang, Yunxiang Guo, Dongming Tai, Jun Chen, Geng Jin, Yaqiong Liu, Zhimei Ni, Xin Shi, Tieliu PedAM: a database for Pediatric Disease Annotation and Medicine |
title | PedAM: a database for Pediatric Disease Annotation and Medicine |
title_full | PedAM: a database for Pediatric Disease Annotation and Medicine |
title_fullStr | PedAM: a database for Pediatric Disease Annotation and Medicine |
title_full_unstemmed | PedAM: a database for Pediatric Disease Annotation and Medicine |
title_short | PedAM: a database for Pediatric Disease Annotation and Medicine |
title_sort | pedam: a database for pediatric disease annotation and medicine |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753298/ https://www.ncbi.nlm.nih.gov/pubmed/29126123 http://dx.doi.org/10.1093/nar/gkx1049 |
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