AIMC Topic: Data Mining

Clear Filters Showing 171 to 180 of 1565 articles

TGIN: Document-level event extraction with two-phase graph inference network.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2024
Document-level event extraction aims to extract event records from a whole document that contain numerous entities scattered across multiple sentences. Efficiently modeling the interactions among these entities is crucial. However, previous methods s...
Algorithms Natural Language Processing Data Mining Humans Neural Networks, Computer
View on PubMed DOI

AlpaPICO: Extraction of PICO frames from clinical trial documents using LLMs.

Methods (San Diego, Calif.) Apr 21, 2024
In recent years, there has been a surge in the publication of clinical trial reports, making it challenging to conduct systematic reviews. Automatically extracting Population, Intervention, Comparator, and Outcome (PICO) from clinical trial studies c...
Clinical Trials as Topic Humans Machine Learning Natural Language Processing Data Mining
View on PubMed DOI

Language model based on deep learning network for biomedical named entity recognition.

Methods (San Diego, Calif.) Apr 17, 2024
Biomedical Named Entity Recognition (BioNER) is one of the most basic tasks in biomedical text mining, which aims to automatically identify and classify biomedical entities in text. Recently, deep learning-based methods have been applied to Biomedica...
Humans Neural Networks, Computer Natural Language Processing Data Mining Language Deep Learning
View on PubMed DOI

SubGE-DDI: A new prediction model for drug-drug interaction established through biomedical texts and drug-pairs knowledge subgraph enhancement.

PLoS computational biology Apr 16, 2024
Biomedical texts provide important data for investigating drug-drug interactions (DDIs) in the field of pharmacovigilance. Although researchers have attempted to investigate DDIs from biomedical texts and predict unknown DDIs, the lack of accurate ma...
Drug Interactions Data Mining Pharmacovigilance Databases, Factual Computational Biology Humans Machine Learning Algorithms
View on PubMed DOI

Natural language processing (NLP) to facilitate abstract review in medical research: the application of BioBERT to exploring the 20-year use of NLP in medical research.

Systematic reviews Apr 15, 2024
BACKGROUND: Abstract review is a time and labor-consuming step in the systematic and scoping literature review in medicine. Text mining methods, typically natural language processing (NLP), may efficiently replace manual abstract screening. This stud...
Humans Electronic Health Records Natural Language Processing Language Data Mining Biomedical Research
View on PubMed DOI

Text mining of hypertension researches in the west Asia region: a 12-year trend analysis.

Renal failure Apr 14, 2024
More than half of the world population lives in Asia and hypertension (HTN) is the most prevalent risk factor found in Asia. There are numerous articles published about HTN in Eastern Mediterranean Region (EMRO) and artificial intelligence (AI) metho...
Algorithms Hypertension Asia Data Mining Humans Artificial Intelligence
View on PubMed DOI

A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes - An exploratory analysis.

Primary care diabetes Apr 14, 2024
AIMS: Machine learning models can use image and text data to predict the number of years since diabetes diagnosis; such model can be applied to new patients to predict, approximately, how long the new patient may have lived with diabetes unknowingly....
Adult Male Middle Aged Reproducibility of Results Aged Diabetes Mellitus Predictive Value of Tests Fundus Oculi Brazil Time Factors Humans Diabetic Retinopathy Databases, Factual Female Machine Learning Image Interpretation, Computer-Assisted Self Report Data Mining
View on PubMed DOI

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.

Journal of biomedical informatics Apr 14, 2024
OBJECTIVE: To develop a natural language processing (NLP) package to extract social determinants of health (SDoH) from clinical narratives, examine the bias among race and gender groups, test the generalizability of extracting SDoH for different dise...
Documentation Social Determinants of Health Bias Data Mining Electronic Health Records Female Narration Humans Male Natural Language Processing
View on PubMed DOI

Pipelined biomedical event extraction rivaling joint learning.

Methods (San Diego, Calif.) Apr 9, 2024
Biomedical event extraction is an information extraction task to obtain events from biomedical text, whose targets include the type, the trigger, and the respective arguments involved in an event. Traditional biomedical event extraction usually adopt...
Natural Language Processing Data Mining Humans Semantics Machine Learning Algorithms
View on PubMed DOI

Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction.

Journal of biomedical informatics Mar 26, 2024
OBJECTIVE: To develop soft prompt-based learning architecture for large language models (LLMs), examine prompt-tuning using frozen/unfrozen LLMs, and assess their abilities in transfer learning and few-shot learning.
Drug-Related Side Effects and Adverse Reactions Algorithms Social Determinants of Health Data Mining Humans Natural Language Processing Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals