AIMC Topic: MEDLINE

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Enhancing the coverage of SemRep using a relation classification approach.

Journal of biomedical informatics May 21, 2024
OBJECTIVE: Relation extraction is an essential task in the field of biomedical literature mining and offers significant benefits for various downstream applications, including database curation, drug repurposing, and literature-based discovery. The b...
Databases, Factual Natural Language Processing Humans Algorithms Semantics MEDLINE PubMed Data Mining
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Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review.

Artificial intelligence in medicine Nov 9, 2023
BACKGROUND: Artificial intelligence (AI) technology has the potential to transform medical practice within the medical imaging industry and materially improve productivity and patient outcomes. However, low acceptability of AI as a digital healthcare...
Databases, Factual Diagnostic Imaging Image Interpretation, Computer-Assisted MEDLINE Artificial Intelligence Humans Health Personnel
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Few-shot learning for medical text: A review of advances, trends, and opportunities.

Journal of biomedical informatics Jul 23, 2023
BACKGROUND: Few-shot learning (FSL) is a class of machine learning methods that require small numbers of labeled instances for training. With many medical topics having limited annotated text-based data in practical settings, FSL-based natural langua...
Machine Learning PubMed MEDLINE Natural Language Processing Publications
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Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.

Artificial intelligence in medicine May 22, 2023
OBJECTIVE: The proper handling of missing values is critical to delivering reliable estimates and decisions, especially in high-stakes fields such as clinical research. In response to the increasing diversity and complexity of data, many researchers ...
MEDLINE Databases, Factual Deep Learning Neural Networks, Computer
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Bat4RCT: A suite of benchmark data and baseline methods for text classification of randomized controlled trials.

PloS one Mar 24, 2023
Randomized controlled trials (RCTs) play a major role in aiding biomedical research and practices. To inform this research, the demand for highly accurate retrieval of scientific articles on RCT research has grown in recent decades. However, correctl...
MEDLINE Machine Learning Randomized Controlled Trials as Topic Language Natural Language Processing
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Classifying literature mentions of biological pathogens as experimentally studied using natural language processing.

Journal of biomedical semantics Jan 31, 2023
BACKGROUND: Information pertaining to mechanisms, management and treatment of disease-causing pathogens including viruses and bacteria is readily available from research publications indexed in MEDLINE. However, identifying the literature that specif...
Databases, Genetic Natural Language Processing MEDLINE Machine Learning Algorithms
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Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE.

Systematic reviews Oct 25, 2022
BACKGROUND: Cluster randomized trials (CRTs) are becoming an increasingly important design. However, authors of CRTs do not always adhere to requirements to explicitly identify the design as cluster randomized in titles and abstracts, making retrieva...
Humans Machine Learning Algorithms Subject Headings MEDLINE Support Vector Machine Randomized Controlled Trials as Topic
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Hybrid Ensemble-Rule Algorithm for Improved MEDLINE® Sentence Boundary Detection.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Sentence boundary detection (SBD) is a fundamental building block in the Natural Language Processing (NLP) pipeline. Incorrect SBD may impact subsequent processing stages resulting in decreased performance. In well-behaved corpora, a few simple rules...
Natural Language Processing MEDLINE Algorithms Language Humans
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Applying a novel approach to scoping review incorporating artificial intelligence: mapping the natural history of gonorrhoea.

BMC medical research methodology Sep 6, 2021
BACKGROUND: Systematic and scoping literature searches are increasingly resource intensive. We present the results of a scoping review which combines the use of a novel artificial-intelligence-(AI)-assisted Medline search tool with two other 'traditi...
MEDLINE Mass Screening Gonorrhea Infant, Newborn Humans Artificial Intelligence
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GrantExtractor: Accurate Grant Support Information Extraction from Biomedical Fulltext Based on Bi-LSTM-CRF.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
Grant support (GS) in the MEDLINE database refers to funding agencies and contract numbers. It is important for funding organizations to track their funding outcomes from the GS information. As such, how to accurately and automatically extract fundin...
Data Mining MEDLINE Deep Learning Models, Statistical United States National Library of Medicine (U.S.) Financing, Organized
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