Related Experiment Video

Updated: Sep 14, 2025

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

7.2K

Development and validation of a dynamic early warning system with time-varying machine learning models for predicting

Dung-Hung Chiang1,2,3,4, Zeyu Jiang5,6, Cong Tian5

  • 1Department of Critical Care Medicine, Taipei Veteran General Hospital, No. 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.

Critical Care (London, England)
|July 23, 2025
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Hemodynamic instabilityICUMachine learningPredictive analyticsReal-time monitoring

More Related Videos

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients05:01

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

Published on: October 17, 2017

7.1K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.8K

Related Concept Videos

Pre-Procedural Guidelines for Assessing Blood Pressure01:10

Pre-Procedural Guidelines for Assessing Blood Pressure

Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
628