The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text
Background Determining usefulness of biomedical text mining systems requires realistic
task definition and data selection criteria without artificial constraints, measuring …
task definition and data selection criteria without artificial constraints, measuring …
Extraction of pharmacokinetic evidence of drug–drug interactions from the literature
Drug-drug interaction (DDI) is a major cause of morbidity and mortality and a subject of
intense scientific interest. Biomedical literature mining can aid DDI research by extracting …
intense scientific interest. Biomedical literature mining can aid DDI research by extracting …
myAURA: Personalized health library for epilepsy management via knowledge graph sparsification and visualization
Objective: We report the development of the patient-centered myAURA application and suite
of methods designed to aid epilepsy patients, caregivers, and researchers in making …
of methods designed to aid epilepsy patients, caregivers, and researchers in making …
Measuring climate change on Twitter using Google's algorithm: Perception and events
Purpose–The purpose of this paper is to test the hypothesis of whether more complex and
emergent hashtags can be sufficient pointers to climate change events. Human-induced …
emergent hashtags can be sufficient pointers to climate change events. Human-induced …
Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions
Background. Drug-drug interaction (DDI) is a major cause of morbidity and mortality. DDI
research includes the study of different aspects of drug interactions, from in vitro …
research includes the study of different aspects of drug interactions, from in vitro …
Defect Severity Identification for a Catenary System Based on Deep Semantic Learning
J Wang, S Gao, L Yu, D Zhang, L Kou - Sensors, 2022 - mdpi.com
A variety of Chinese textual operational text data has been recorded during the operation
and maintenance of the high-speed railway catenary system. Such defect text records can …
and maintenance of the high-speed railway catenary system. Such defect text records can …
Classification of research papers on radio frequency electromagnetic field (RF-EMF) using graph neural networks (GNN)
This study compares the performance of graph convolutional neural network (GCN) models
with conventional natural language processing (NLP) models for classifying scientific …
with conventional natural language processing (NLP) models for classifying scientific …
Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions
Background Protein-protein interaction (PPI) is an important biomedical phenomenon.
Automatically detecting PPI-relevant articles and identifying methods that are used to study …
Automatically detecting PPI-relevant articles and identifying methods that are used to study …
Hybrid methods of bibliographic coupling and text similarity measurement for biomedical paper recommendation
H Guo, Z Shen, J Zeng, N Hong - MEDINFO 2021: One World …, 2022 - ebooks.iospress.nl
The amount of available scientific literature is increasing, and studies have proposed
various methods for evaluating document-document similarity in order to cluster or classify …
various methods for evaluating document-document similarity in order to cluster or classify …