AIMC Topic: Knowledge Bases
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m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.
Nucleic acids research
Jan 8, 2021
N 6-Methyladenosine (m6A) is the most prevalent RNA modification on mRNAs and lncRNAs. It plays a pivotal role during various biological processes and disease pathogenesis. We present here a comprehensive knowledgebase, m6A-Atlas, for unraveling the ...
Chemotherapy Knowledge Base Management in the Era of Precision Oncology.
JCO clinical cancer informatics
Jan 1, 2021
Cancer medicine has grown increasingly complex in recent years with the advent of precision oncology and wide utilization of multidrug regimens. Representing this increasingly granular knowledge is a significant challenge. As users and managers of a ...
An omics perspective on drug target discovery platforms.
Briefings in bioinformatics
Dec 1, 2020
The drug discovery process starts with identification of a disease-modifying target. This critical step traditionally begins with manual investigation of scientific literature and biomedical databases to gather evidence linking molecular target to di...
PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2020
OBJECTIVE: Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to s...
UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase.
Bioinformatics (Oxford, England)
Nov 1, 2020
MOTIVATION: The number of protein records in the UniProt Knowledgebase (UniProtKB: https://www.uniprot.org) continues to grow rapidly as a result of genome sequencing and the prediction of protein-coding genes. Providing functional annotation for the...
The impact of learning Unified Medical Language System knowledge embeddings in relation extraction from biomedical texts.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2020
OBJECTIVE: We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts.
Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2020
OBJECTIVE: We sought to assess the need for additional coverage of dietary supplements (DS) in the Unified Medical Language System (UMLS) by investigating (1) the overlap between the integrated DIetary Supplements Knowledge base (iDISK) DS ingredient...
Knowledge-Based Planning for Intact Cervical Cancer.
Seminars in radiation oncology
Oct 1, 2020
Cervical cancer radiotherapy is often complicated by significant variability in the quality and consistency of treatment plans. Knowledge-based planning (KBP), which utilizes prior patient data to correlated achievable optimal dosimetry with patient-...
OpenClinical.net: Artificial intelligence and knowledge engineering at the point of care.
BMJ health & care informatics
Jul 1, 2020
OBJECTIVE: OpenClinical.net is a way of disseminating clinical guidelines to improve quality of care whose distinctive feature is to combine the benefits of clinical guidelines and other human-readable material with the power of artificial intelligen...
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