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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Ethical Standards II01:23

Ethical Standards II

Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy and...
Healthcare Agencies I01:18

Healthcare Agencies I

Healthcare agencies provide healthcare services to people. In the United States, voluntary agencies are often non-profit centers sponsored by donations, grants, or fundraisers. One such organization is Meals on Wheels, which provides meals to the elderly and homebound. The American Heart Association and the American Lung Association are other non-profit community organizations. Doctors and nurses are frequently active members of these organizations, which offer health checks and educational...
Healthcare Agencies II01:17

Healthcare Agencies II

There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources, and lay...
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...

You might also read

Related Articles

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

Sort by
Same author

Simplifying Cohort Definition with a Conversational Query Builder.

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
Same author

HYMET: a hybrid metagenomic pipeline for accurate and efficient taxonomic classification.

GigaScience·2026
Same author

Thermo-Oxidative Stability and Functional Properties of Extra Virgin Olive Oil Oleogels.

Gels (Basel, Switzerland)·2026
Same author

Integrating energy expenditure into MTM-UAS: the Motion Energy Measurement (MEM) system for ergonomic assessment in assembly lines.

Ergonomics·2026

Related Experiment Video

Updated: May 24, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

A Privacy Index Calculator for Federated Medical Studies.

José Gameiro1, Vicente Barros1, João Rafael Almeida1

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

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a client-side privacy analysis tool for clinical datasets, enhancing data protection without server involvement. The system effectively identifies high-risk data attributes and quantifies privacy guarantees, ensuring secure data sharing.

Keywords:
Data PrivacyPrivacy Assessment ToolRe-identification Risk

Related Experiment Videos

Last Updated: May 24, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

  • Health Informatics
  • Data Privacy
  • Computer Science

Background:

  • Sharing clinical datasets is crucial for research but poses significant re-identification risks.
  • Existing privacy analysis methods often require server-side processing, raising data security concerns.

Purpose of the Study:

  • To develop and validate a client-side privacy analysis tool for clinical datasets.
  • To ensure robust data protection during clinical data sharing through enhanced privacy guarantees.

Main Methods:

  • Implemented a hybrid classification mechanism combining semantic rules and statistical heuristics for attribute categorization.
  • Designed a modular, plugin-based architecture to compute a comprehensive Privacy Index.
  • Utilized pattern recognition to detect existing data protection techniques.

Main Results:

  • The client-side tool effectively identified high-risk attributes in synthetic datasets.
  • Accurate quantification of privacy guarantees was achieved.
  • Demonstrated the tool's capability to operate without server-side data transmission.

Conclusions:

  • The developed privacy analysis tool enhances clinical data sharing security.
  • Client-side processing ensures data protection and mitigates re-identification risks.
  • The tool provides a reliable method for assessing and quantifying data privacy.