AI Medical Compendium Topic

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Gene ontology concept recognition using named concept: understanding the various presentations of the gene functions in biomedical literature.

Database : the journal of biological databases and curation
OBJECTIVE: A major challenge in precision medicine is the development of patient-specific genetic biomarkers or drug targets. The firsthand information of the genes associated with the pathologic pathways of interest is buried in the ocean of biomedi...

Large-scale automated machine reading discovers new cancer-driving mechanisms.

Database : the journal of biological databases and curation
PubMed, a repository and search engine for biomedical literature, now indexes >1 million articles each year. This exceeds the processing capacity of human domain experts, limiting our ability to truly understand many diseases. We present Reach, a sys...

An attention-based effective neural model for drug-drug interactions extraction.

BMC bioinformatics
BACKGROUND: Drug-drug interactions (DDIs) often bring unexpected side effects. The clinical recognition of DDIs is a crucial issue for both patient safety and healthcare cost control. However, although text-mining-based systems explore various method...

Knowledge mapping visualization analysis of the military health and medicine papers published in the web of science over the past 10 years.

Military Medical Research
BACKGROUND: Military medicine is a research field that seeks to solve the medical problems that occur in modern war conditions based on public medicine theory.

Literature evidence in open targets - a target validation platform.

Journal of biomedical semantics
BACKGROUND: We present the Europe PMC literature component of Open Targets - a target validation platform that integrates various evidence to aid drug target identification and validation. The component identifies target-disease associations in docum...

Using classification models for the generation of disease-specific medications from biomedical literature and clinical data repository.

Journal of biomedical informatics
OBJECTIVE: Mining disease-specific associations from existing knowledge resources can be useful for building disease-specific ontologies and supporting knowledge-based applications. Many association mining techniques have been exploited. However, the...

Extracting microRNA-gene relations from biomedical literature using distant supervision.

PloS one
Many biomedical relation extraction approaches are based on supervised machine learning, requiring an annotated corpus. Distant supervision aims at training a classifier by combining a knowledge base with a corpus, reducing the amount of manual effor...

Improving Endpoint Detection to Support Automated Systematic Reviews.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Authors of biomedical articles use comparison sentences to communicate the findings of a study, and to compare the results of the current study with earlier studies. The Claim Framework defines a comparison claim as a sentence that includes at least ...

Extractive text summarization system to aid data extraction from full text in systematic review development.

Journal of biomedical informatics
OBJECTIVES: Extracting data from publication reports is a standard process in systematic review (SR) development. However, the data extraction process still relies too much on manual effort which is slow, costly, and subject to human error. In this s...

Boolean regulatory network reconstruction using literature based knowledge with a genetic algorithm optimization method.

BMC bioinformatics
BACKGROUND: Prior knowledge networks (PKNs) provide a framework for the development of computational biological models, including Boolean models of regulatory networks which are the focus of this work. PKNs are created by a painstaking process of lit...