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

Data Validation01:03

Data Validation

7.1K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
7.1K
Data Validation01:15

Data Validation

2.9K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
2.9K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

21.1K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
21.1K
Qualitative Analysis01:10

Qualitative Analysis

1.5K
Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
1.5K
Qualitative Analysis03:46

Qualitative Analysis

25.6K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
25.6K
Quality Assurance01:19

Quality Assurance

3.2K
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
3.2K

You might also read

Related Articles

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

Sort by
Same author

GlobalMedQA: A Standardized Multilingual Dataset for Assessing Medical Knowledge in LLMs.

Studies in health technology and informatics·2026
Same author

Digital transformation in restaurants: key aspects of service robot deployment from project initiation to evaluation.

Frontiers in robotics and AI·2026
Same author

A Data-Centric Approach for Health Care and Research in a Health Knowledge Management Platform: Implementation and Requirement-Based Evaluation Study.

JMIR medical informatics·2026
Same author

Dietary intervention among young cancer survivors within the CARE for CAYA program.

Journal of cancer survivorship : research and practice·2026
Same author

A comprehensive European Colorectal Cancer Cohort dataset.

Scientific data·2026
Same author

Full-scale indexing and semantic annotation of CT imaging: boosting FAIRness.

BMC medical informatics and decision making·2026
Same journal

The Essential Components and Critical Conditions for Success in a Learning Health System in Oncology.

Studies in health technology and informatics·2026
Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026
Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026
Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026
Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

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

Related Experiment Video

Updated: Feb 23, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

20.6K

Analysis of Annotated Data Models for Improving Data Quality.

Hannes Ulrich1, Ann-Kristin Kock-Schoppenhauer1, Björn Andersen2

  • 1IT for Clinical Research, Lübeck (ITCR-L), University of Lübeck, Germany.

Studies in Health Technology and Informatics
|September 9, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid approach to automatically analyze and annotate clinical trial data, improving data consistency and interpretability. The method enhances the Medical Data Models portal by linking datasets and ensuring semantically similar data is processed uniformly.

Keywords:
CDISC ODMNatural Language ProcessingSemantic InteroperabilityUMLS

Related Experiment Videos

Last Updated: Feb 23, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

20.6K

Area of Science:

  • Medical Informatics
  • Clinical Data Management
  • Biomedical Data Standards

Background:

  • The Medical Data Models (MDM) portal contains over 9,000 annotated forms from clinical trials, presenting research opportunities.
  • Data heterogeneity is a major challenge in clinical research, hindering data reuse and analysis.
  • Current methods for annotating clinical data can lead to inconsistencies, impacting data interpretability and processability.

Purpose of the Study:

  • To develop and evaluate a semi-automatic approach for analyzing and assessing items, questions, and data elements in clinical studies.
  • To ensure semantically similar datasets are processed and classified uniformly.
  • To enhance the interpretability and processability of clinical trial data through improved semantic annotations.

Main Methods:

  • Utilized the CDISC ODM standard for syntactic representation of data models within the MDM portal.
  • Implemented a hybrid evaluation process combining NLM MetaMap for UMLS (Unified Medical Language System) support and corpus-based algorithms.
  • Developed a (semi-)automatic approach to rate and propose semantic annotations for under-specified trial items.

Main Results:

  • Successfully demonstrated a hybrid approach for analyzing and assessing clinical study items and data elements.
  • Showcased the semi-automatic addition of UMLS CUIs (Concept Unique Identifiers) to enhance data model interpretability.
  • The proposed method aids in linking datasets and improving the semantic consistency of structured patient data.

Conclusions:

  • The developed hybrid approach effectively rates and proposes semantic annotations for clinical trial data.
  • Improved semantic annotations enhance data interpretability and ensure consistent processing of similar datasets.
  • This method offers a valuable tool for the medical informatics community to address data heterogeneity and improve clinical data analysis.