AIMC Topic: Data Mining

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Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Biomedical relation extraction aims to identify underlying relationships among entities, such as gene associations and drug interactions, within biomedical texts. Despite advancements in relation extraction in general knowledge domains, the scarcity ...
Supervised Machine Learning Data Mining Databases, Factual Computational Biology Humans Algorithms
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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Humans Reproducibility of Results Aged Male Retrospective Studies Electronic Health Records Female Pneumothorax Hemoptysis Large Language Models Hemothorax Ablation Techniques Natural Language Processing Feasibility Studies Neoplasm Recurrence, Local Data Mining Microwaves Recurrence Lung Neoplasms Treatment Outcome Predictive Value of Tests Middle Aged Time Factors
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Enhancing suicidal behavior detection in EHRs: A multi-label NLP framework with transformer models and semantic retrieval-based annotation.

Journal of biomedical informatics Dec 2, 2024
BACKGROUND: Suicide is a leading cause of death worldwide, making early identification of suicidal behaviors crucial for clinicians. Current Natural Language Processing (NLP) approaches for identifying suicidal behaviors in Electronic Health Records ...
Humans Natural Language Processing Data Mining Semantics Electronic Health Records Suicidal Ideation Suicide
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A multimodal approach for few-shot biomedical named entity recognition in low-resource languages.

Journal of biomedical informatics Nov 30, 2024
In this study, we revisit named entity recognition (NER) in the biomedical domain from a multimodal perspective, with a particular focus on applications in low-resource languages. Existing research primarily relies on unimodal methods for NER, which ...
Humans Medical Informatics Language Algorithms Natural Language Processing Databases, Factual Data Mining
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Biomedical document-level relation extraction with thematic capture and localized entity pooling.

Journal of biomedical informatics Nov 30, 2024
In contrast to sentence-level relational extraction, document-level relation extraction poses greater challenges as a document typically contains multiple entities, and one entity may be associated with multiple other entities. Existing methods often...
Algorithms Databases, Factual Natural Language Processing Data Mining Humans
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Metastatic Versus Localized Disease as Inclusion Criteria That Can Be Automatically Extracted From Randomized Controlled Trials Using Natural Language Processing.

JCO clinical cancer informatics Nov 27, 2024
PURPOSE: Extracting inclusion and exclusion criteria in a structured, automated fashion remains a challenge to developing better search functionalities or automating systematic reviews of randomized controlled trials in oncology. The question "Did th...
Algorithms Neoplasms Randomized Controlled Trials as Topic Natural Language Processing Patient Selection Data Mining Humans Machine Learning Neoplasm Metastasis
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Structural analysis and intelligent classification of clinical trial eligibility criteria based on deep learning and medical text mining.

Journal of biomedical informatics Nov 26, 2024
OBJECTIVE: To enhance the efficiency, quality, and innovation capability of clinical trials, this paper introduces a novel model called CTEC-AC (Clinical Trial Eligibility Criteria Automatic Classification), aimed at structuring clinical trial eligib...
Clinical Trials as Topic Patient Selection Data Mining Deep Learning Humans Cluster Analysis Algorithms Natural Language Processing
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Mining biology for antibiotic discovery.

PLoS biology Nov 26, 2024
The rise of antibiotic resistance calls for innovative solutions. The realization that biology can be mined digitally using artificial intelligence has revealed a new paradigm for antibiotic discovery, offering hope in the fight against superbugs.
Drug Discovery Drug Resistance, Microbial Data Mining Artificial Intelligence Anti-Bacterial Agents Drug Resistance, Bacterial Humans
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Interaction effect between data discretization and data resampling for class-imbalanced medical datasets.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 25, 2024
BackgroundData discretization is an important preprocessing step in data mining for the transfer of continuous feature values to discrete ones, which allows some specific data mining algorithms to construct more effective models and facilitates the d...
Humans Databases, Factual Algorithms Support Vector Machine Data Mining
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Exploring sensory alterations and repetitive behaviors in children with autism spectrum disorder from the perspective of artificial neural networks.

Research in developmental disabilities Nov 21, 2024
BACKGROUND: Restrictive repetitive behaviors (RRBs) and sensory processing disorders are core symptoms of autism spectrum disorder (ASD). Their relationship is reported, but existing data are conflicting as to whether they are related but distinct, o...
Data Mining Sleep Wake Disorders Sensation Disorders Stereotyped Behavior Surveys and Questionnaires Child, Preschool Child Female Male Humans Neural Networks, Computer Autism Spectrum Disorder
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