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 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K

Letter to the Editor: Clinical implementation considerations for machine learning-based delirium prediction models

XiRui Yang1

  • 1First Clinical Medical College, Mudanjiang Medical University, Mudanjiang, China; Department of Intensive Care Unit, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.

Australian Critical Care : Official Journal of the Confederation of Australian Critical Care Nurses
|September 19, 2025
PubMed
Summary

No abstract available in PubMed .

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K

Related Experiment Videos

Last Updated: Jan 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K

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

Diagnostic Performance and Cost-Effectiveness of BALF mNGS in Older Adults with Pulmonary Infections.

Infectious diseases and therapy·2026
Same author

Stem cell-based approaches for glaucoma treatment: a mini review.

Open life sciences·2026
Same author

Mechanically Robust, Intrinsic Self-Healing Polyurethane Enabled by NIR-Photothermal Conversion of MXene/Polydopamine Hybrids.

ACS applied materials & interfaces·2025
Same author

Letter to the editor: The CONSIDER study: Assessing the risk of catheter-associated bloodstream infections beyond the intensive care setting.

American journal of infection control·2025
Same author

Clinical Considerations in Validating Global Acute Respiratory Distress Syndrome Definition: Addressing Temporal Dynamics and Confounding Variables.

Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine·2025
Same author

Letter to the editor: "An economic model for different anticoagulation strategies in continuous renal replacement therapy".

Journal of critical care·2025