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

Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

1.4K
Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
1.4K
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

1.3K
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
1.3K
ER Retrieval Pathway01:45

ER Retrieval Pathway

4.6K
In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
4.6K
Bioavailability: Overview01:13

Bioavailability: Overview

3.9K
Bioavailability refers to the proportion of an unaltered drug that, after administration, enters the systemic circulation and can be distributed to the desired action site. Factors such as gastrointestinal (GI) absorption and liver biotransformation influence the bioavailability of a drug when it is administered orally. When a drug is administered intravenously, it enters the systemic circulation directly; by definition, its bioavailability is assumed to be 100%. The bioavailability of an...
3.9K
Bioequivalence: Overview01:16

Bioequivalence: Overview

1.6K
Pharmaceutical equivalents, by definition, are drug products with the same active ingredient in the same quantities, encapsulated in identical dosage forms, and intended for the same administration routes. These pharmaceutical equivalents are deemed bioequivalent if the bioavailability of the active entity in the drug preparations is similar. Moreover, pharmaceutical equivalents demonstrating bioequivalence are also regarded as therapeutically equivalent. This means that when used as directed,...
1.6K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K

You might also read

Related Articles

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

Sort by
Same author

Lotus Seedpod-Inspired Crosslinking-Assembled Hydrogels Based on Gold Nanoclusters for Synergistic Osteosarcoma Multimode Imaging and Therapy.

ACS applied materials & interfaces·2022
Same author

Prognostic Factors for Excellent Response to Initial Therapy in Patients With Papillary Thyroid Cancer From a Prospective Multicenter Study.

Frontiers in oncology·2022
Same author

Electrode Interface Engineering in Lithium-Sulfur Batteries Enabled by a Trifluoroacetamide-Based Electrolyte.

ACS applied materials & interfaces·2022
Same author

Inter- and intra-chromosomal modulators of the APOE ɛ2 and ɛ4 effects on the Alzheimer's disease risk.

GeroScience·2022
Same author

Influence of improved behavioral inhibition on decreased cue-induced craving in heroin use disorder: A preliminary intermittent theta burst stimulation study.

Journal of psychiatric research·2022
Same author

Testing Topical Products Specifically to Reduce Inflammatory Pain from Gout: Transdermal NSAID Delivery and Monosodium Urate Solubility.

Journal of pain research·2022

Related Experiment Video

Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.4K

Knowledge enhancement and full utilization of document information for document-level biomedical relation extraction.

Xin Chen1, Liang He2,3, Yuhan Liu1

  • 1School of Computer Science and Technology, Xinjiang University, Urumqi, 830017, China.

Scientific Reports
|December 20, 2025
PubMed
Summary

This study introduces KnowFDI, a novel framework for document-level biomedical relation extraction. KnowFDI enhances accuracy by integrating local/global context, document structure, and external knowledge for better biomedical knowledge discovery.

Keywords:
Biomedical text miningContextual informationDocument-level relation extractionGraph neural networkKnowledge enhancement

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.1K

Related Experiment Videos

Last Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.4K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.1K

Area of Science:

  • Biomedical Informatics
  • Natural Language Processing
  • Computational Biology

Background:

  • Document-level biomedical relation extraction (BioDocuRE) is crucial for discovering relationships spanning multiple sentences.
  • Existing methods struggle with integrating external knowledge and exploiting document structure for complex relations.

Purpose of the Study:

  • To introduce KnowFDI, a novel framework for document-level BioDocuRE.
  • To improve the extraction accuracy of complex, long-range biomedical relationships.

Main Methods:

  • KnowFDI combines local/global context, document structure (inter-sentence relations via bridge nodes), and external entity-centric knowledge.
  • Utilizes a pre-trained language model for encoding and multi-view representation learning with channel-wise attention fusion.
  • Incorporates descriptive knowledge from external biomedical knowledge bases to enrich entity semantics.

Main Results:

  • KnowFDI achieves state-of-the-art performance on CDR and GDA benchmarks.
  • Demonstrates significant improvements in overall and inter-sentence relation extraction.
  • Outperforms previous methods in identifying complex, long-range biomedical relationships.

Conclusions:

  • KnowFDI's hierarchical information fusion and external knowledge integration are crucial for deciphering complex document-level dependencies.
  • The framework effectively enhances biomedical knowledge discovery through improved relation extraction.