AIMC Topic: Data Mining

Clear Filters Showing 101 to 110 of 1565 articles

An Accurate and Efficient Approach to Knowledge Extraction from Scientific Publications Using Structured Ontology Models, Graph Neural Networks, and Large Language Models.

International journal of molecular sciences Nov 3, 2024
The rapid growth of biomedical literature makes it challenging for researchers to stay current. Integrating knowledge from various sources is crucial for studying complex biological systems. Traditional text-mining methods often have limited accuracy...
Deep Learning Publications Knowledge Bases Humans Data Mining Neural Networks, Computer
View on PubMed DOI

A survey on representation learning for multi-view data.

Neural networks : the official journal of the International Neural Network Society Nov 1, 2024
Multi-view clustering has become a rapidly growing field in machine learning and data mining areas by combining useful information from different views for last decades. Although there have been some surveys based on multi-view clustering, most of th...
Algorithms Cluster Analysis Data Mining Neural Networks, Computer Machine Learning Humans
View on PubMed DOI

A general adaptive unsupervised feature selection with auto-weighting.

Neural networks : the official journal of the International Neural Network Society Oct 31, 2024
Feature selection (FS) is essential in machine learning and data mining as it makes handling high-dimensional data more efficient and reliable. More attention has been paid to unsupervised feature selection (UFS) due to the extra resources required t...
Unsupervised Machine Learning Data Mining Algorithms Cluster Analysis Neural Networks, Computer Humans Machine Learning
View on PubMed DOI

Automated Extraction of Stroke Severity From Unstructured Electronic Health Records Using Natural Language Processing.

Journal of the American Heart Association Oct 25, 2024
BACKGROUND: Multicenter electronic health records can support quality improvement and comparative effectiveness research in stroke. However, limitations of electronic health record-based research include challenges in abstracting key clinical variabl...
Humans Electronic Health Records Natural Language Processing Massachusetts Stroke Male Female Data Mining Middle Aged Severity of Illness Index Aged
View on PubMed DOI

ChatGPT-4 extraction of heart failure symptoms and signs from electronic health records.

Progress in cardiovascular diseases Oct 21, 2024
BACKGROUND: Natural language processing (NLP) can facilitate research utilizing data from electronic health records (EHRs). Large language models can potentially improve NLP applications leveraging EHR notes. The objective of this study was to assess...
Natural Language Processing Heart Failure Symptom Assessment Humans Data Mining United States Machine Learning Predictive Value of Tests Electronic Health Records
View on PubMed DOI

Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting.

Neural networks : the official journal of the International Neural Network Society Oct 18, 2024
Spatiotemporal Graph (STG) forecasting is an essential task within the realm of spatiotemporal data mining and urban computing. Over the past few years, Spatiotemporal Graph Neural Networks (STGNNs) have gained significant attention as promising solu...
Forecasting Spatio-Temporal Analysis Neural Networks, Computer Data Mining Humans Algorithms Deep Learning
View on PubMed DOI

PLRTE: Progressive learning for biomedical relation triplet extraction using large language models.

Journal of biomedical informatics Oct 18, 2024
Document-level relation triplet extraction is crucial in biomedical text mining, aiding in drug discovery and the construction of biomedical knowledge graphs. Current language models face challenges in generalizing to unseen datasets and relation typ...
Databases, Factual Natural Language Processing Data Mining Machine Learning Algorithms Semantics Humans
View on PubMed DOI

Enhancing Aortic Aneurysm Surveillance: Transformer Natural Language Processing for Flagging and Measuring in Radiology Reports.

Annals of vascular surgery Oct 16, 2024
BACKGROUND: Incidental findings of aortic aneurysms (AAs) often go unreported, and established patients are frequently lost to follow-up. Natural language processing (NLP) offers a promising solution to address these issues. While rule-based NLP meth...
Natural Language Processing Workflow Data Mining Electronic Health Records Predictive Value of Tests Aortic Aneurysm Incidental Findings Aortography Appointments and Schedules Radiology Information Systems Humans
View on PubMed DOI

Improving tabular data extraction in scanned laboratory reports using deep learning models.

Journal of biomedical informatics Oct 10, 2024
OBJECTIVE: Medical laboratory testing is essential in healthcare, providing crucial data for diagnosis and treatment. Nevertheless, patients' lab testing results are often transferred via fax across healthcare organizations and are not immediately av...
Algorithms Electronic Health Records Deep Learning Humans Data Mining
View on PubMed DOI

Boundary-Aware Dual Biaffine Model for Sequential Sentence Classification in Biomedical Documents.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Assigning appropriate rhetorical roles, such as "background," "intervention," and "outcome," to sentences in biomedical documents can streamline the process for physicians to locate evidence and resources for medical treatment and decision-making. Wh...
Data Mining Computational Biology Humans Semantics Natural Language Processing Algorithms
View on PubMed DOI
Popular Topics
Recent Journals