AIMC Topic: Data Mining

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A Combined Manual Annotation and Deep-Learning Natural Language Processing Study on Accurate Entity Extraction in Hereditary Disease Related Biomedical Literature.

Interdisciplinary sciences, computational life sciences Feb 10, 2024
We report a combined manual annotation and deep-learning natural language processing study to make accurate entity extraction in hereditary disease related biomedical literature. A total of 400 full articles were manually annotated based on published...
Publications Data Mining Genetic Diseases, Inborn Deep Learning Natural Language Processing Humans
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Perspectives on Preparedness for Chemical, Biological, Radiological, and Nuclear Threats in the Middle East and North Africa Region: Application of Artificial Intelligence Techniques.

Health security Feb 9, 2024
Over the past 3 decades, the diversity of ethnic, religious, and political backgrounds worldwide, particularly in countries of the Middle East and North Africa (MENA), has led to an increase in the number of intercountry conflicts and terrorist attac...
Middle East Africa, Northern Terrorism Civil Defense Data Mining Disaster Planning Artificial Intelligence Machine Learning Humans
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An artificial intelligence algorithm for co-clustering to help in pharmacovigilance before and during the COVID-19 pandemic.

British journal of clinical pharmacology Feb 8, 2024
AIMS: Monitoring drug safety in real-world settings is the primary aim of pharmacovigilance. Frequent adverse drug reactions (ADRs) are usually identified during drug development. Rare ones are mostly characterized through post-marketing scrutiny, in...
COVID-19 Algorithms Humans Artificial Intelligence Data Mining Pharmacovigilance Cluster Analysis Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems
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Extracting adverse drug events from clinical Notes: A systematic review of approaches used.

Journal of biomedical informatics Feb 6, 2024
BACKGROUND: An adverse drug event (ADE) is any unfavorable effect that occurs due to the use of a drug. Extracting ADEs from unstructured clinical notes is essential to biomedical text extraction research because it helps with pharmacovigilance and p...
Electronic Health Records Deep Learning Data Mining Natural Language Processing Pharmacovigilance Machine Learning Drug-Related Side Effects and Adverse Reactions Databases, Factual Humans
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PubMed and beyond: biomedical literature search in the age of artificial intelligence.

EBioMedicine Feb 1, 2024
Biomedical research yields vast information, much of which is only accessible through the literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent improvements in artificial intelligence (AI) have expanded functio...
Humans Artificial Intelligence PubMed Data Mining Delivery of Health Care Biomedical Research
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CMBEE: A constraint-based multi-task learning framework for biomedical event extraction.

Journal of biomedical informatics Jan 23, 2024
OBJECTIVE: Event extraction plays a crucial role in natural language processing. However, in the biomedical domain, the presence of nested events adds complexity to event extraction compared to single events, and these events usually have strong sema...
Semantics Natural Language Processing Data Mining Machine Learning
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Enhancing safety of construction workers in Korea: an integrated text mining and machine learning framework for predicting accident types.

International journal of injury control and safety promotion Jan 2, 2024
Construction workers face a high risk of various occupational accidents, many of which can result in fatalities. This study aims to develop a prediction model for nine prevalent types of construction accidents, utilizing construction tasks, activitie...
Republic of Korea Accidents, Occupational Bayes Theorem Data Mining Machine Learning Algorithms Humans Construction Industry
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BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network.

BMC bioinformatics Dec 19, 2023
BACKGROUND: Automatic and accurate extraction of diverse biomedical relations from literature is a crucial component of bio-medical text mining. Currently, stacking various classification networks on pre-trained language models to perform fine-tuning...
Data Mining Linguistics Neural Networks, Computer Language Natural Language Processing
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AI-based article screening.

British dental journal Dec 15, 2023
Artificial Intelligence Data Mining Information Storage and Retrieval
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Combining data discretization and missing value imputation for incomplete medical datasets.

PloS one Nov 30, 2023
Data discretization aims to transform a set of continuous features into discrete features, thus simplifying the representation of information and making it easier to understand, use, and explain. In practice, users can take advantage of the discretiz...
Data Mining Support Vector Machine Algorithms Cluster Analysis
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