AIMC Topic: Data Mining

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A Data Mining Approach to Diagnose Cancer for Therapeutic Decision Making.

Alternative therapies in health and medicine
BACKGROUND: With the increase in population, there is a rise in number of cancer cases starting from young children to old people. The uncommon cancers are generally sporadic and there are no pre-defined techniques/tools for the diagnosis. Identifyin...

LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification.

Current medical imaging reviews
BACKGROUND: With the explosive growth of global data, the term Big Data describes the enormous size of dataset through the detailed analysis. The big data analytics revealed the hidden patterns and secret correlations among the values. The major chal...

A general approach for improving deep learning-based medical relation extraction using a pre-trained model and fine-tuning.

Database : the journal of biological databases and curation
The automatic extraction of meaningful relations from biomedical literature or clinical records is crucial in various biomedical applications. Most of the current deep learning approaches for medical relation extraction require large-scale training d...

Machine learning approach to literature mining for the genetics of complex diseases.

Database : the journal of biological databases and curation
To generate a parsimonious gene set for understanding the mechanisms underlying complex diseases, we reasoned it was necessary to combine the curation of public literature, review of experimental databases and interpolation of pathway-associated gene...

Evaluation of an automatic article selection method for timelier updates of the Comet Core Outcome Set database.

Database : the journal of biological databases and curation
Curated databases of scientific literature play an important role in helping researchers find relevant literature, but populating such databases is a labour intensive and time-consuming process. One such database is the freely accessible Comet Core O...

Extraction of chemical-protein interactions from the literature using neural networks and narrow instance representation.

Database : the journal of biological databases and curation
The scientific literature contains large amounts of information on genes, proteins, chemicals and their interactions. Extraction and integration of this information in curated knowledge bases help researchers support their experimental results, leadi...

The extraction of complex relationships and their conversion to biological expression language (BEL) overview of the BioCreative VI (2017) BEL track.

Database : the journal of biological databases and curation
Knowledge of the molecular interactions of biological and chemical entities and their involvement in biological processes or clinical phenotypes is important for data interpretation. Unfortunately, this knowledge is mostly embedded in the literature ...

Extraction from Medical Records.

Studies in health technology and informatics
Despite using electronic medical records, free narrative text is still widely used for medical records. Such text cannot be analyzed by statistical tools and be proceed by decision support systems. To make data from texts available for such tasks a s...

Chemical-protein interaction extraction via contextualized word representations and multihead attention.

Database : the journal of biological databases and curation
A rich source of chemical-protein interactions (CPIs) is locked in the exponentially growing biomedical literature. Automatic extraction of CPIs is a crucial task in biomedical natural language processing (NLP), which has great benefits for pharmacol...

GIDB: a knowledge database for the automated curation and multidimensional analysis of molecular signatures in gastrointestinal cancer.

Database : the journal of biological databases and curation
Gastrointestinal (GI) cancer is common, characterized by high mortality, and includes oesophagus, gastric, liver, bile duct, pancreas, rectal and colon cancers. The insufficient specificity and sensitivity of biomarkers is still a key clinical hindra...