| Literature DB >> 29126123 |
Jinmeng Jia1, Zhongxin An1, Yue Ming1, Yongli Guo2, Wei Li3, Xin Li1, Yunxiang Liang1, Dongming Guo1, Jun Tai2, Geng Chen1, Yaqiong Jin2, Zhimei Liu2, Xin Ni1, Tieliu Shi1.
Abstract
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/.Entities:
Mesh:
Year: 2018 PMID: 29126123 PMCID: PMC5753298 DOI: 10.1093/nar/gkx1049
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971