AIMC Topic: Knowledge Bases
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OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.
BMC medical informatics and decision making
Jul 23, 2018
BACKGROUND: There is strong scientific evidence linking obesity and overweight to the risk of various cancers and to cancer survivorship. Nevertheless, the existing online information about the relationship between obesity and cancer is poorly organi...
Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases.
BMC medical informatics and decision making
Jul 23, 2018
BACKGROUND: In the past few years, neural word embeddings have been widely used in text mining. However, the vector representations of word embeddings mostly act as a black box in downstream applications using them, thereby limiting their interpretab...
Chemical-induced disease relation extraction with dependency information and prior knowledge.
Journal of biomedical informatics
Jul 11, 2018
Chemical-disease relation (CDR) extraction is significantly important to various areas of biomedical research and health care. Nowadays, many large-scale biomedical knowledge bases (KBs) containing triples about entity pairs and their relations have ...
A deep learning approach to bilingual lexicon induction in the biomedical domain.
BMC bioinformatics
Jul 9, 2018
BACKGROUND: Bilingual lexicon induction (BLI) is an important task in the biomedical domain as translation resources are usually available for general language usage, but are often lacking in domain-specific settings. In this article we consider BLI ...
Using preference learning for detecting inconsistencies in clinical practice guidelines: Methods and application to antibiotherapy.
Artificial intelligence in medicine
Jul 9, 2018
Clinical practice guidelines provide evidence-based recommendations. However, many problems are reported, such as contradictions and inconsistencies. For example, guidelines recommend sulfamethoxazole/trimethoprim in child sinusitis, but they also st...
Assessment of Functional Phosphatidylinositol 3-Kinase Pathway Activity in Cancer Tissue Using Forkhead Box-O Target Gene Expression in a Knowledge-Based Computational Model.
The American journal of pathology
Jul 6, 2018
The phosphatidylinositol 3-kinase (PI3K) pathway is commonly activated in cancer. Tumors are potentially sensitive to PI3K pathway inhibitors, but reliable diagnostic tests that assess functional PI3K activity are lacking. Because PI3K pathway activi...
Evaluation of the VITEK MS knowledge base version 3.0 for the identification of clinically relevant Mycobacterium species.
Emerging microbes & infections
Jul 4, 2018
Different Mycobacterium spp. infections may indicate varied treatment regimens in the clinic. Thus, the species-level identification of Mycobacterium spp. is one of the most important tasks for a clinical microbiology laboratory. Although matrix-assi...
MOVR-NeuroMuscular ObserVational Research, a unified data hub for neuromuscular diseases.
Genetics in medicine : official journal of the American College of Medical Genetics
Jun 22, 2018
Discovering hidden knowledge through auditing clinical diagnostic knowledge bases.
Journal of biomedical informatics
Jun 22, 2018
OBJECTIVE: Evaluate potential for data mining auditing techniques to identify hidden concepts in diagnostic knowledge bases (KB). Improving completeness enhances KB applications such as differential diagnosis and patient case simulation.
Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction.
IEEE/ACM transactions on computational biology and bioinformatics
May 21, 2018
Automatically extracting the relationships between chemicals and diseases is significantly important to various areas of biomedical research and health care. Biomedical experts have built many large-scale knowledge bases (KBs) to advance the developm...
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