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

What is Evolutionary History?02:35

What is Evolutionary History?

43.6K
Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
43.6K
Classifying Matter by Composition03:35

Classifying Matter by Composition

90.6K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
90.6K
Genetics of Speciation02:16

Genetics of Speciation

21.7K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
21.7K
Evolutionary Psychology01:20

Evolutionary Psychology

1.0K
Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
1.0K
Classifying Matter by State02:49

Classifying Matter by State

103.8K
Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
103.8K
Criticisms of the Evolutionary Perspective01:23

Criticisms of the Evolutionary Perspective

376
In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...
376

You might also read

Related Articles

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

Sort by
Same author

Influence of internal electrostatics on reduction potentials in amine-ligated bimetallic copper complexes.

Physical chemistry chemical physics : PCCP·2025
Same author

Cu<sup>I</sup>-amidobis(phosphine) catalyzed C(sp<sup>3</sup>)-C(sp<sup>3</sup>) direct homo- and hetero-coupling of unactivated alkanes <i>via</i> C(sp<sup>3</sup>)-H activation.

Chemical communications (Cambridge, England)·2024
Same author

Copper(I) Complexes of Amide Functionalized Bisphosphine: Proximity Enhanced Metal-Ligand Cooperativity and Its Catalytic Advantage in C(<i>sp</i><sup>3</sup>)-H Bond Activation of Unactivated Cycloalkanes in Dehydrogenative Carboxylation Reactions.

Inorganic chemistry·2023
Same author

Orthorhombic charge density wave on the tetragonal lattice of EuAl<sub>4</sub>.

IUCrJ·2022
Same author

Ru<sup>II</sup> complexes of 1,2,3-triazole appended tertiary phosphines, [P(Ph){(<i>o</i>-C<sub>6</sub>H<sub>4</sub>)(1,2,3-N<sub>3</sub>C(Ph)CH}<sub>2</sub>] and [P(Ph){<i>o</i>-C<sub>6</sub>H<sub>4</sub>(CCH)-(1,2,3-N<sub>3</sub>-Ph)}<sub>2</sub>]: highly active catalysts for transfer hydrogenation of carbonyl/nitro compounds and for α-alkylation of ketones.

Dalton transactions (Cambridge, England : 2003)·2022
Same author

Knowledge Graph-Based Approaches to Drug Repurposing for COVID-19.

Journal of chemical information and modeling·2021

Related Experiment Video

Updated: Feb 6, 2026

Impact of Fabrication Techniques and Polishing Procedures on Surface Roughness of Denture Base Resins
03:02

Impact of Fabrication Techniques and Polishing Procedures on Surface Roughness of Denture Base Resins

Published on: January 17, 2025

1.0K

Evolutionary sequential genetic search technique-based cancer classification using fuzzy rough nearest neighbour

Loganathan Meenachi1, Srinivasan Ramakrishnan1

  • 1Department of Information Technology, Dr.Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India.

Healthcare Technology Letters
|August 30, 2018
PubMed
Summary

A new genetic search fuzzy rough (GSFR) algorithm enhances early cancer detection by precisely selecting crucial features. This method improves classification accuracy and reduces computation time for better patient survival rates.

Keywords:
FRNN classifierGSFR feature selection algorithmboundary regionscancerclassification accuracycomputation timedeadly diseasesevolutionary sequential genetic search technique-based cancer classificationfeature selectionfitness functionfuzzy rough nearest neighbour classifierfuzzy rough setfuzzy set theorygenerated subsetgenetic algorithmsgenetic operatorgenetic search fuzzy rough feature selection algorithmmathematical operatorsmedical computingmodified dependency functionpattern classificationpositive regionsrough set theorysearch problems

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.5K
Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

5.4K

Related Experiment Videos

Last Updated: Feb 6, 2026

Impact of Fabrication Techniques and Polishing Procedures on Surface Roughness of Denture Base Resins
03:02

Impact of Fabrication Techniques and Polishing Procedures on Surface Roughness of Denture Base Resins

Published on: January 17, 2025

1.0K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.5K
Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

5.4K

Area of Science:

  • Oncology
  • Computer Science
  • Artificial Intelligence

Background:

  • Early cancer diagnosis significantly improves patient survival rates.
  • Feature selection is critical for developing accurate and efficient diagnostic models.
  • Existing methods may lack the precision needed for optimal early detection.

Purpose of the Study:

  • To introduce a novel hybrid feature selection algorithm, Genetic Search Fuzzy Rough (GSFR).
  • To enhance the accuracy and efficiency of cancer classification models through optimized feature selection.
  • To compare the performance of the proposed GSFR algorithm against existing feature selection techniques.

Main Methods:

  • Hybridization of evolutionary genetic search with fuzzy rough set theory for feature selection.
  • Utilizing genetic operators (selection, crossover, mutation) to generate feature subsets.
  • Employing a modified fuzzy rough set dependency function as a fitness measure for subset evaluation.

Main Results:

  • The GSFR algorithm effectively identifies optimal feature subsets for classification.
  • The fuzzy-rough nearest neighbour (FRNN) classifier, using GSFR-selected features, demonstrated superior classification accuracy.
  • FRNN also exhibited reduced computation time compared to other classifiers.
  • GSFR outperformed existing feature selection algorithms in precision and efficiency.

Conclusions:

  • The proposed GSFR feature selection algorithm offers a precise and efficient approach for cancer diagnosis.
  • Early cancer detection can be significantly improved by leveraging advanced AI techniques like GSFR.
  • The FRNN classifier, combined with GSFR, presents a promising tool for clinical application in cancer diagnostics.