[HTML][HTML] Artificial intelligence in the diagnosis and detection of heart failure: the past, present, and future
F Yasmin, SMI Shah, A Naeem… - Reviews in …, 2021 - imrpress.com
Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …
Rapid response systems
Introduction Rapid response systems are commonly employed by hospitals to identify and
respond to deteriorating patients outside of the intensive care unit. Controversy exists about …
respond to deteriorating patients outside of the intensive care unit. Controversy exists about …
European resuscitation council guidelines for resuscitation 2015: section 3. Adult advanced life support
Adult advanced life support (ALS) includes advanced interventions after basic life support
has started and when appropriate an automated external defibrillator (AED) has been used …
has started and when appropriate an automated external defibrillator (AED) has been used …
European resuscitation council guidelines for resuscitation 2010 section 4. Adult advanced life support
Heart rhythms associated with cardiac arrest are divided into two groups: shockable rhythms
(ventricular fibrillation/pulseless ventricular tachycardia (VF/VT)) and non-shockable rhythms …
(ventricular fibrillation/pulseless ventricular tachycardia (VF/VT)) and non-shockable rhythms …
An algorithm based on deep learning for predicting in‐hospital cardiac arrest
Background In‐hospital cardiac arrest is a major burden to public health, which affects
patient safety. Although traditional track‐and‐trigger systems are used to predict cardiac …
patient safety. Although traditional track‐and‐trigger systems are used to predict cardiac …
ViEWS—towards a national early warning score for detecting adult inpatient deterioration
AIM OF STUDY: To develop a validated, paper-based, aggregate weighted track and trigger
system (AWTTS) that could serve as a template for a national early warning score (EWS) for …
system (AWTTS) that could serve as a template for a national early warning score (EWS) for …
[HTML][HTML] Machine learning–based early warning systems for clinical deterioration: systematic sco** review
S Muralitharan, W Nelson, S Di, M McGillion… - Journal of medical …, 2021 - jmir.org
Background Timely identification of patients at a high risk of clinical deterioration is key to
prioritizing care, allocating resources effectively, and preventing adverse outcomes. Vital …
prioritizing care, allocating resources effectively, and preventing adverse outcomes. Vital …
“Identifying the hospitalised patient in crisis”—a consensus conference on the afferent limb of rapid response systems
MA DeVita, GB Smith, SK Adam, I Adams-Pizarro… - Resuscitation, 2010 - Elsevier
BACKGROUND: Most reports of Rapid Response Systems (RRS) focus on the efferent,
response component of the system, although evidence suggests that improved vital sign …
response component of the system, although evidence suggests that improved vital sign …
Identification of deteriorating patients on general wards; measurement of vital parameters and potential effectiveness of the Modified Early Warning Score
J Ludikhuize, SM Smorenburg, SE de Rooij… - Journal of critical …, 2012 - Elsevier
BACKGROUND AND PURPOSE: Clear and detectable signs of deterioration have been
shown to be present in many patients multiple hours before undergoing a serious life …
shown to be present in many patients multiple hours before undergoing a serious life …
The value of vital sign trends for detecting clinical deterioration on the wards
Aim Early detection of clinical deterioration on the wards may improve outcomes, and most
early warning scores only utilize a patient's current vital signs. The added value of vital sign …
early warning scores only utilize a patient's current vital signs. The added value of vital sign …