AIMC Topic: Natural Language Processing
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Explanatory argumentation in natural language for correct and incorrect medical diagnoses.
Journal of biomedical semantics
May 30, 2024
BACKGROUND: A huge amount of research is carried out nowadays in Artificial Intelligence to propose automated ways to analyse medical data with the aim to support doctors in delivering medical diagnoses. However, a main issue of these approaches is t...
Interdisciplinary approach to identify language markers for post-traumatic stress disorder using machine learning and deep learning.
Scientific reports
May 30, 2024
Post-traumatic stress disorder (PTSD) lacks clear biomarkers in clinical practice. Language as a potential diagnostic biomarker for PTSD is investigated in this study. We analyze an original cohort of 148 individuals exposed to the November 13, 2015,...
Assessing the utility of artificial intelligence throughout the triage outpatients: a prospective randomized controlled clinical study.
Frontiers in public health
May 30, 2024
Currently, there are still many patients who require outpatient triage assistance. ChatGPT, a natural language processing tool powered by artificial intelligence technology, is increasingly utilized in medicine. To facilitate and expedite patients' n...
On knowing a gene: A distributional hypothesis of gene function.
Cell systems
May 28, 2024
As words can have multiple meanings that depend on sentence context, genes can have various functions that depend on the surrounding biological system. This pleiotropic nature of gene function is limited by ontologies, which annotate gene functions w...
An Extensible Evaluation Framework Applied to Clinical Text Deidentification Natural Language Processing Tools: Multisystem and Multicorpus Study.
Journal of medical Internet research
May 28, 2024
BACKGROUND: Clinical natural language processing (NLP) researchers need access to directly comparable evaluation results for applications such as text deidentification across a range of corpus types and the means to easily test new systems or corpora...
Biomedical named entity recognition based on multi-cross attention feature fusion.
PloS one
May 28, 2024
Currently, in the field of biomedical named entity recognition, CharCNN (Character-level Convolutional Neural Networks) or CharRNN (Character-level Recurrent Neural Network) is typically used independently to extract character features. However, this...
Natural language processing to identify and characterize spondyloarthritis in clinical practice.
RMD open
May 24, 2024
OBJECTIVE: This study aims to use a novel technology based on natural language processing (NLP) to extract clinical information from electronic health records (EHRs) to characterise the clinical profile of patients diagnosed with spondyloarthritis (S...
Advancing automatic text summarization: Unleashing enhanced binary multi-objective grey wolf optimization with mutation.
PloS one
May 24, 2024
Automatic Text Summarization (ATS) is gaining popularity as there is a growing demand for a system capable of processing extensive textual content and delivering a concise, yet meaningful, relevant, and useful summary. Manual summarization is both ex...
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...
Enhancing aspect-based multi-labeling with ensemble learning for ethical logistics.
PloS one
May 21, 2024
In the dynamic domain of logistics, effective communication is essential for streamlined operations. Our innovative solution, the Multi-Labeling Ensemble (MLEn), tackles the intricate task of extracting multi-labeled data, employing advanced techniqu...
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