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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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/.
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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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