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

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

509
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
509

You might also read

Related Articles

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

Sort by
Same author

Consequences of the COVID-19 Pandemic on Nurses' Mental Health: A Multicentre Cross-Sectional Study in Northern France.

Journal of psychiatric and mental health nursing·2026
Same author

Identification and prediction of patients eligible for augmented rehabilitation in emergency gastrointestinal surgery (RAUCisable): A protocol for a single-centre, retrospective, observational study.

PloS one·2026
Same author

Methodological Development and Assessing Prescribing Determinants Through Cumulative Drug Exposure in Hospitalized Patients: Proof-of-Concept Retrospective Study.

JMIR medical informatics·2026
Same author

Experiencing Extreme Hunger in Anorexia Nervosa Recovery: A Qualitative Analysis of Reddit Narratives.

The International journal of eating disorders·2026
Same author

A Sentence Classification-Based Medical Status Extraction Pipeline for Electronic Health Records: Institutional Case Study.

JMIR medical informatics·2026
Same author

Artificial Intelligence Models for Predicting Triage in Emergency Departments: Seven-Month Retrospective Comparative Study of Natural Language Processing, Large Language Model, and Joint Embedding Predictive Architectures.

JMIR medical informatics·2026

Related Experiment Video

Updated: Aug 25, 2025

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.3K

Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for

Antoine Lamer1,2,3, Mathilde Fruchart1, Nicolas Paris3

  • 1Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de santé et des Pratiques médicales, Lille, France.

JMIR Medical Informatics
|October 17, 2022
PubMed
Summary

This study standardizes feature extraction for retrospective studies, defining "track" and "feature" states and transformations. This improves data reuse and reproducibility in observational research.

Keywords:
Observation Medical Outcomes Partnershipalgorithmdata reusedata warehousedatabasefeature extraction

More Related Videos

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.6K
Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics
09:09

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics

Published on: October 13, 2020

4.5K

Related Experiment Videos

Last Updated: Aug 25, 2025

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.3K
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.6K
Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics
09:09

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics

Published on: October 13, 2020

4.5K

Area of Science:

  • Biomedical Informatics
  • Data Science
  • Observational Studies

Background:

  • Data reuse in research faces challenges due to raw data complexity.
  • Information often requires computation from raw data for algorithmic use.

Purpose of the Study:

  • Standardize feature extraction steps in retrospective observational studies.
  • Propose methods for storing extracted features in a data warehouse schema.

Main Methods:

  • Collected and analyzed study cases on automatic and secondary data use for feature extraction.
  • Standardized common steps and transformations across study cases.
  • Identified suitable tables within the OMOP Common Data Model (CDM) for feature storage.

Main Results:

  • Defined two states: 'track' (time-dependent signal) and 'feature' (time-independent information).
  • Identified two transformations: 'track definition' and 'track aggregation'.
  • Proposed 'TRACK' and 'FEATURE' tables to extend the OMOP CDM for storing extracted variables.

Conclusions:

  • A standardized feature extraction process, divided into track definition and aggregation, manages complexity.
  • Standardizing tracks requires data expertise but enables complex transformations.
  • Enhanced reproducibility of retrospective studies through standardized feature extraction.