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

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

477
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
477
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

259
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
259
Factors Influencing Attraction III: Similarity01:23

Factors Influencing Attraction III: Similarity

243
The similarity hypothesis suggests that individuals are more likely to form relationships with others who share similar attitudes, beliefs, values, and interests. This concept has been widely studied in social psychology, demonstrating that perceived similarity fosters interpersonal attraction. In an experiment supporting this hypothesis, participants were presented with fabricated information indicating that strangers held attitudes similar to their own. The results showed that participants...
243
Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

180
The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
180
Classification of Systems-II01:31

Classification of Systems-II

422
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
422
Systematic Sampling Method01:17

Systematic Sampling Method

12.3K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
12.3K

You might also read

Related Articles

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

Sort by
Same author

Reliable hierarchical operating system fingerprinting via conformal prediction.

International journal of information security·2026
Same author

Report on the 2025 DICOM WSI Connectathon.

Journal of pathology informatics·2026
Same author

Simplifying Cohort Definition with a Conversational Query Builder.

Studies in health technology and informatics·2026
Same author

A Privacy Index Calculator for Federated Medical Studies.

Studies in health technology and informatics·2026
Same author

Biochef: a client-side WebAssembly-based workflow builder for genomic data analysis.

BMC bioinformatics·2026
Same author

A systematic review and benchmarking of modern metagenomic tools for taxonomic classification.

Computers in biology and medicine·2026

Related Experiment Video

Updated: Dec 17, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K

A Recommender System Based on Cohorts' Similarity.

João Rafael Almeida1,2, Eriksson Monteiro3, Luís Bastião Silva3

  • 1DETI/IEETA, University of Aveiro, Portugal.

Studies in Health Technology and Informatics
|June 24, 2020
PubMed
Summary

This study introduces a recommendation system to help researchers find similar Alzheimer's disease cohorts for more powerful studies. It addresses data integration challenges by using collaborative filtering and context-based retrieval.

Keywords:
Alzheimer cohortsCohort catalogueRecommendation systems

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

1.9K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K

Related Experiment Videos

Last Updated: Dec 17, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

1.9K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K

Area of Science:

  • Neuroscience
  • Genetics
  • Bioinformatics

Background:

  • Alzheimer's disease research often relies on small participant groups, limiting statistical power.
  • Integrating diverse multi-cohort data for Alzheimer's disease studies presents significant challenges.
  • Discovering relevant existing cohorts to augment current research is a complex and time-consuming process.

Purpose of the Study:

  • To develop and validate a recommendation system for identifying similar Alzheimer's disease cohorts.
  • To facilitate the integration of multi-cohort data for enhanced Alzheimer's disease research.
  • To improve the efficiency of discovering relevant scientific cohorts based on research interests.

Main Methods:

  • A novel recommendation system was developed.
  • The system employs a hybrid approach combining collaborative filtering and context-based retrieval.
  • The methodology was applied to scientific literature concerning Alzheimer's disease.

Main Results:

  • The recommendation system successfully identifies similar cohorts based on user profile interests.
  • The system was validated using a dataset comprising 62 distinct cohorts.
  • The approach demonstrates potential for improving cohort discovery in Alzheimer's disease research.

Conclusions:

  • The developed recommendation system offers a viable solution for finding similar Alzheimer's disease cohorts.
  • This tool can aid researchers in leveraging multi-cohort data for more robust findings.
  • The system enhances the process of extending existing studies by discovering relevant scientific literature and cohorts.