Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Natural and Artificial Concepts

Natural and Artificial Concepts

In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint Vincent in...

Weighted Mean

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Extraction: Advanced Methods

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is formed in...

You might also read

Related Articles

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

Sort by

Same author

BertSRC: transformer-based semantic relation classification.

BMC medical informatics and decision making·2022

Same author

Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning.

BMC medical informatics and decision making·2022

Same author

Pharmacovigilance of Herb-Drug Interactions: A Pharmacokinetic Study on the Combined Administration of Tripterygium Glycosides Tablets and Leflunomide Tablets in Rats by LC-MS/MS.

Pharmaceuticals (Basel, Switzerland)·2022

Same author

Clinical effect of successful reperfusion in patients presenting with NIHSS < 6 and large vessel occlusion.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association·2022

Same author

Safety of inactivated SARS-CoV-2 vaccines in myasthenia gravis: A survey-based study.

Frontiers in immunology·2022

Same author

Arabidopsis plants engineered for high root sugar secretion enhance the diversity of soil microorganisms.

Biotechnology journal·2022

Same journal

DiffGRN: differential gene regulatory network analysis.

International journal of data mining and bioinformatics·2019

Same journal

Integration of multi-omics data for integrative gene regulatory network inference.

International journal of data mining and bioinformatics·2018

Same journal

The development of non-coding RNA ontology.

International journal of data mining and bioinformatics·2016

Same journal

Learning multiple distributed prototypes of semantic categories for named entity recognition.

International journal of data mining and bioinformatics·2015

Same journal

Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model.

International journal of data mining and bioinformatics·2015

Same journal

Application of consensus string matching in the diagnosis of allelic heterogeneity involving transposition mutation.

International journal of data mining and bioinformatics·2015

See all related articles

Search research articles

Related Experiment Video

Updated: May 10, 2026

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

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

Published on: September 20, 2018

Enhancing biomedical concept extraction using semantic relationship weights.

Said Bleik¹, Wei Xiong, Min Song

¹Department of Information Systems, New Jersey Institute of Technology, Newark, NJ 07102, USA. sb252@njit.edu

International Journal of Data Mining and Bioinformatics

|July 4, 2013

Summary

This summary is machine-generated.

This study introduces a new method for automated biomedical Concept Extraction (CE) using concept graphs and relation weights. This approach significantly improves keyword assignment accuracy for scientific documents.

More Related Videos

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

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

Published on: October 13, 2023

Related Experiment Videos

Last Updated: May 10, 2026

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

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

Published on: September 20, 2018

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

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

Published on: October 13, 2023

Area of Science:

Biomedical Informatics
Natural Language Processing
Information Retrieval

Background:

Automated keyword assignment is crucial for indexing scientific literature and developing digital libraries.
Existing methods for Concept Extraction (CE) can be enhanced through semantic analysis.

Purpose of the Study:

To propose and evaluate a novel approach for biomedical Concept Extraction (CE) utilizing semantic features of concept graphs.
To improve the accuracy and efficiency of assigning keywords to scientific publications.

Main Methods:

Representing full-text documents as graphs.
Mapping biomedical terms to predefined ontology concepts.
Employing concept relation weights to refine the ranking of potential key concepts.

Main Results:

The proposed method, incorporating relation weights, demonstrated a significant improvement in Concept Extraction (CE) performance.
Objective and human-based evaluations confirmed the effectiveness of the relation weight approach.

Conclusions:

Semantic features of concept graphs, particularly relation weights, enhance biomedical Concept Extraction (CE).
The study underscores the inherent subjectivity in both the CE process and its evaluation.