Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Neural Regulation01:37

Neural Regulation

39.6K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
39.6K
Dense Connective Tissue01:13

Dense Connective Tissue

7.9K
Dense connective tissue contains more collagen fibers than loose connective tissue. As a consequence, it displays greater resistance to stretching. There are two major categories of dense connective tissue— regular and irregular.
Dense Regular Connective Tissue
In dense regular connective tissue, fibers are arranged parallel to each other, enhancing its tensile strength and resistance to stretching in the direction of the fiber orientations. Ligaments and tendons are made of dense regular...
7.9K
Nursing Clinical Information System01:27

Nursing Clinical Information System

823
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
823
Neural Circuits01:25

Neural Circuits

1.3K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Yap mediates hippo signaling to balance proliferation and differentiation in the developing glandular stomach epithelium.

Cell reports·2026
Same author

DeepDOX1: A Dual-Drive Framework Integrating Deep Learning and First-Principles Quantum Chemistry for Drug-Protein Affinity Prediction.

JACS Au·2026
Same author

Influence of pollen from different species on the fruit quality of 'Hongyang' kiwifruit.

Scientific reports·2026
Same author

Stiffness-Activated Stellate Cells Drive Pancreatic Cancer Liver Colonization via GMFG-TNS4 Signaling.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Accuracy of machine learning in predicting recurrence risk of lumbar disc herniation after percutaneous endoscopic lumbar discectomy: a systematic review and meta-analysis.

Journal of orthopaedic surgery and research·2026
Same author

Correlation between the frailty index derived from laboratory tests and 4-week all-cause mortality in critically ill patients with pneumonia.

Experimental gerontology·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 24, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K

A Joint Extraction System Based on Conditional Layer Normalization for Health Monitoring.

Binbin Shi1, Rongli Fan1, Lijuan Zhang2

  • 1School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel artificial intelligence model for health monitoring using natural language processing (NLP). The model improves relation triplet extraction, crucial for accurate health data analysis.

Keywords:
Chinese medical textsRoBERTahealth monitoringjoint extractiontalking-head attention

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K
Intra-Operative Neural Monitoring of Thyroid Surgery in a Porcine Model
08:16

Intra-Operative Neural Monitoring of Thyroid Surgery in a Porcine Model

Published on: February 11, 2019

21.3K

Related Experiment Videos

Last Updated: Jul 24, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.8K
Intra-Operative Neural Monitoring of Thyroid Surgery in a Porcine Model
08:16

Intra-Operative Neural Monitoring of Thyroid Surgery in a Porcine Model

Published on: February 11, 2019

21.3K

Area of Science:

  • Artificial Intelligence in Healthcare
  • Natural Language Processing (NLP)
  • Biomedical Informatics

Background:

  • Natural language processing (NLP) is vital for health monitoring, with relation triplet extraction being a key component.
  • Current methods face challenges in accurately extracting complex or overlapping information.

Purpose of the Study:

  • To propose a novel model for joint entity and relation extraction in health monitoring.
  • To enhance the accuracy of overlapping triplet extraction using NLP.

Main Methods:

  • A new model combining conditional layer normalization and talking-head attention mechanism.
  • Integration of position information to improve extraction accuracy.
  • Evaluation on Baidu2019 and CHIP2020 datasets.

Main Results:

  • The proposed model effectively extracts overlapping triplets.
  • Significant performance improvements were observed compared to baseline methods.
  • Enhanced interaction between entity recognition and relation extraction.

Conclusions:

  • The novel model demonstrates superior performance in relation triplet extraction for health monitoring.
  • This advancement contributes to more accurate and efficient health data analysis.
  • The approach shows promise for improving AI-driven health monitoring systems.