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 Experiment Video

Updated: Jan 31, 2026

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
05:56

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

6.2K

Big Data Analysis and Machine Learning in Intensive Care Units.

A Núñez Reiz1, M A Armengol de la Hoz2, M Sánchez García1

  • 1Servicio de Medicina Intensiva, Hospital Universitario Clínico San Carlos, Madrid, España.

Medicina Intensiva
|December 29, 2018
PubMed
Summary

Related Concept Videos

Measurement: Standard Units03:38

Measurement: Standard Units

79.8K
Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
79.8K
Measurement: Derived Units03:02

Measurement: Derived Units

55.4K
The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
55.4K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

748
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
748
Machines01:19

Machines

578
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
578
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

1.6K
Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
1.6K
Sound Intensity00:58

Sound Intensity

4.8K
The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...
4.8K

You might also read

Related Articles

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

Sort by
Same author

Urethral stricture management knowledge survey among Spanish urology residents.

Actas urologicas espanolas·2024
Same author

Reverse triggering.

Medicina intensiva·2022
Same author

In reply to «Big Data Analysis and Machine Learning in Intensive Care Medicine: Identifying new ethical and legal challenges».

Medicina intensiva·2020
Same author

"The multimodal approach for ventilator-associated pneumonia prevention"-requirements for nationwide implementation.

Annals of translational medicine·2018
Same author

Severity of Illness Scores May Misclassify Critically Ill Obese Patients.

Critical care medicine·2017
Same author

Guidelines for the prevention of ventilator-associated pneumonia and their implementation. The Spanish "Zero-VAP" bundle.

Medicina intensiva·2014
Same journal

From risk factors to prediction: Artificial intelligence as the next frontier in preventing CRRT interruption.

Medicina intensiva·2026
Same journal

The place of the TAPSE/PASP in the diagnosis of right heart dysfunction in critically ill patients.

Medicina intensiva·2026
Same journal

Advanced circulatory support in oncologic patients with refractory cardiorespiratory failure.

Medicina intensiva·2026
Same journal

Breath stacking and the challenge of inferring mechanism from ventilator waveforms.

Medicina intensiva·2026
Same journal

Beyond authority: ICU leadership, accountability, and the responsibility to step down.

Medicina intensiva·2026
Same journal

Bleeding during VV-ECMO: clinicopathological correlation.

Medicina intensiva·2026
See all related articles
This summary is machine-generated.

Big Data Analysis (BDA) and Machine Learning (ML) offer significant potential for improving clinical research and decision-making in intensive care settings. This review explores their applications and strategies for optimizing these powerful data science tools.

Area of Science:

  • Critical care medicine
  • Data science
  • Health informatics

Background:

  • Intensive care units (ICUs) generate vast amounts of electronic health data.
  • Existing data analysis methods may not fully leverage this information for clinical advancement.
  • Big Data Analysis (BDA) and Machine Learning (ML) present opportunities to enhance data utilization.

Purpose of the Study:

  • To review the fundamental principles of BDA and ML.
  • To explore the clinical applications of BDA and ML in intensive care.
  • To propose strategies for optimizing the implementation of these technologies.

Main Methods:

  • Literature review of BDA and ML concepts.
  • Exploration of current and potential clinical applications in intensive care.
Keywords:
Análisis secundario de datos clínicos electrónicosArtificial intelligenceBig Data AnalysisInteligencia artificialMachine LearningSecondary electronic health record data analysis

More Related Videos

A Protocol to Set Up Needle-Free Connector with Positive Displacement on Central Venous Catheter in Intensive Care Unit
09:57

A Protocol to Set Up Needle-Free Connector with Positive Displacement on Central Venous Catheter in Intensive Care Unit

Published on: July 13, 2019

13.8K
A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.5K

Related Experiment Videos

Last Updated: Jan 31, 2026

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
05:56

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

6.2K
A Protocol to Set Up Needle-Free Connector with Positive Displacement on Central Venous Catheter in Intensive Care Unit
09:57

A Protocol to Set Up Needle-Free Connector with Positive Displacement on Central Venous Catheter in Intensive Care Unit

Published on: July 13, 2019

13.8K
A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.5K
  • Discussion of implementation strategies and required professional roles.

    • Main Results:

    • BDA and ML can significantly enhance clinical research and decision-making in ICUs.
    • Foundational concepts of BDA and ML are applicable to complex healthcare data.
    • Potential exists for improved patient outcomes through data-driven insights.

    Conclusions:

    • BDA and ML are valuable tools for advancing intensive care medicine.
    • Strategic implementation and the development of hybrid professionals are key to success.
    • Future healthcare will likely integrate advanced data science techniques for personalized patient care.