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

You might also read

Related Articles

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

Sort by
Same author

Real-Time Phishing Campaign Detection for Healthcare Organizations: An Explainable AI Approach Using Semantic Clustering.

Studies in health technology and informatics·2026
Same author

Exact Forecasting and Event-Based Prediction in Annual EARS-Net Antimicrobial Resistance Series.

Studies in health technology and informatics·2026
Same author

Artificial Intelligence and Big Data in Urological Oncology: From Radiomics to Real-World Evidence.

Archivos espanoles de urologia·2026
Same author

From Coordination to Personalization: A Trust-Aware Simulation Framework for AI-Driven Personalized Decision Support in Emergency Departments.

Journal of personalized medicine·2025
Same author

Beyond Da Vinci: Comparative Review of Next-Generation Robotic Platforms in Urologic Surgery.

Journal of clinical medicine·2025
Same author

The Impact of COVID-19 on the Epidemiology of Carbapenem Resistance.

Antibiotics (Basel, Switzerland)·2025
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Dec 16, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.5K

Local Distortion Hiding Algorithm in Medical Data: A Case Study Using CART.

Georgios Feretzakis1, Dimitris Kalles1, Vassilios S Verykios1

  • 1School of Science and Technology, Hellenic Open University, Patras 263 35, Greece.

Studies in Health Technology and Informatics
|July 2, 2020
PubMed
Summary
This summary is machine-generated.

Local Distortion Hiding (LDH) protects sensitive medical data patterns. This study shows LDH is effective against the CART algorithm, extending its security evaluation beyond J48 (C4.5).

Keywords:
Privacy-preservinghiding decision tree rulesmedical data privacy

More Related Videos

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

8.0K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

1.1K

Related Experiment Videos

Last Updated: Dec 16, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.5K
Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

8.0K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

1.1K

Area of Science:

  • Health Informatics
  • Data Security
  • Machine Learning

Background:

  • Data sharing is prevalent in healthcare, necessitating methods to protect sensitive information.
  • Local Distortion Hiding (LDH) is a privacy-preserving technique for data sharing.
  • Previous evaluations of LDH assumed attackers used the J48 (C4.5) classification algorithm.

Purpose of the Study:

  • To extend the evaluation of Local Distortion Hiding (LDH) against a different classification algorithm.
  • To assess the effectiveness of LDH when faced with the CART algorithm.
  • To present a case study of a medical dataset processed using LDH and attacked with CART.

Main Methods:

  • Application of the Local Distortion Hiding (LDH) algorithm to a medical dataset.
  • Simulating an attack on the processed dataset using the CART classification algorithm.
  • Analyzing the effectiveness of LDH in preventing pattern discovery by the CART algorithm.

Main Results:

  • The study demonstrates that LDH can successfully conceal sensitive patterns in a medical dataset.
  • The CART algorithm attack was evaluated against the LDH-processed data.
  • LDH proved effective in protecting data against the CART attack, extending previous findings.

Conclusions:

  • Local Distortion Hiding (LDH) offers robust protection for sensitive medical data during sharing.
  • The security of LDH extends beyond the J48 (C4.5) algorithm to include the CART algorithm.
  • This research validates LDH as a viable method for secure medical data sharing.