AIMC Topic: Data Mining

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Design of the formalized and integrated Alzheimer's Disease Ontology and its application in retrieving textual data via text mining.

Database : the journal of biological databases and curation
As one of the leading causes for dementia in the population, it is imperative that we discern exactly why Alzheimer's disease (AD) has a strong molecular association with beta-amyloid and tau. Although a clear understanding about etiology and pathoge...

AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning.

Bioinformatics (Oxford, England)
MOTIVATION: Biomedical named entity recognition (BioNER) seeks to automatically recognize biomedical entities in natural language text, serving as a necessary foundation for downstream text mining tasks and applications such as information extraction...

K-RET: knowledgeable biomedical relation extraction system.

Bioinformatics (Oxford, England)
MOTIVATION: Relation extraction (RE) is a crucial process to deal with the amount of text published daily, e.g. to find missing associations in a database. RE is a text mining task for which the state-of-the-art approaches use bidirectional encoders,...

Automatic Extraction of Medication Mentions from Tweets-Overview of the BioCreative VII Shared Task 3 Competition.

Database : the journal of biological databases and curation
This study presents the outcomes of the shared task competition BioCreative VII (Task 3) focusing on the extraction of medication names from a Twitter user's publicly available tweets (the user's 'timeline'). In general, detecting health-related twee...

Natural language processing in narrative breast radiology reporting in University Malaya Medical Centre.

Health informatics journal
Radiology reporting is narrative, and its content depends on the clinician's ability to interpret the images accurately. A tertiary hospital, such as anonymous institute, focuses on writing reports narratively as part of training for medical personne...

Content analysis of psychological first aid training manuals via topic modelling.

European journal of psychotraumatology
Psychological First Aid (PFA) is practiced worldwide. This practice in English is guided through a small collection of training manuals. Despite ubiquitous practice and formal training materials, little is known about what topics are covered and in ...

METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance.

Bioinformatics (Oxford, England)
MOTIVATION: Class imbalance, or unequal sample sizes between classes, is an increasing concern in machine learning for metabolomic and lipidomic data mining, which can result in overfitting for the over-represented class. Numerous methods have been d...

BioGPT: generative pre-trained transformer for biomedical text generation and mining.

Briefings in bioinformatics
Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domai...

Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison.

Briefings in bioinformatics
The rapid development of biomedicine has produced a large number of biomedical written materials. These unstructured text data create serious challenges for biomedical researchers to find information. Biomedical named entity recognition (BioNER) and ...

Challenges and opportunities for mining adverse drug reactions: perspectives from pharma, regulatory agencies, healthcare providers and consumers.

Database : the journal of biological databases and curation
Monitoring drug safety is a central concern throughout the drug life cycle. Information about toxicity and adverse events is generated at every stage of this life cycle, and stakeholders have a strong interest in applying text mining and artificial i...