A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department

TT Wu, RF Zheng, ZZ Lin, HR Gong, H Li - BMC emergency medicine, 2021 - Springer
Background Currently, the risk stratification of critically ill patient with chest pain is a
challenge. We aimed to use machine learning approach to predict the critical care outcomes …

Prognosticating clinical prediction scores without clinical gestalt for patients with chest pain in the emergency department

CP Wong, CT Lui, JG Sung, H Lam, HT Fung… - The Journal of …, 2018 - Elsevier
Background Assessment of patients with chest pain is a regular challenge in the emergency
department (ED). Recent guidelines recommended quantitative assessment of ischemic risk …

Applications of machine learning to undifferentiated chest pain in the emergency department: A systematic review

J Stewart, J Lu, A Goudie, M Bennamoun, P Sprivulis… - PloS one, 2021 - journals.plos.org
Background Chest pain is amongst the most common reason for presentation to the
emergency department (ED). There are many causes of chest pain, and it is important for the …

[HTML][HTML] Development of a prehospital prediction model for risk stratification of patients with chest pain

K Wibring, M Lingman, J Herlitz, A Ashfaq… - The American Journal of …, 2022 - Elsevier
Introduction Chest pain is one of the most common reasons for contacting the emergency
medical services (EMS). About 15% of these chest pain patients have a high-risk condition …

Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection

N Liu, ZX Koh, J Goh, Z Lin, B Haaland, BP Ting… - BMC medical informatics …, 2014 - Springer
Background The key aim of triage in chest pain patients is to identify those with high risk of
adverse cardiac events as they require intensive monitoring and early intervention. In this …

Chest Pain Risk Stratification in the Emergency Department: Current Perspectives

Z Yukselen, V Majmundar, M Dasari… - Open Access …, 2024 - Taylor & Francis
Chest pain is the second leading cause of all emergency department (ED) visits in adults in
the United States, with nearly 11 million encounters yearly. While identifying low-risk …

A comparative analysis of risk stratification tools for emergency department patients with chest pain

E Burkett, T Marwick, O Thom, AM Kelly - International Journal of …, 2014 - Springer
Background Appropriate disposition of emergency department (ED) patients with chest pain
is dependent on clinical evaluation of risk. A number of chest pain risk stratification tools …

Risk stratification for prediction of adverse coronary events in emergency department chest pain patients with a machine learning score compared with the TIMI score

N Liu, MAB Lee, AFW Ho… - International …, 2014 - internationaljournalofcardiology.com
Rapid and accurate risk stratification of chest pain patients in the emergency department
(ED) plays an important role in guiding appropriate disposition and early intervention so as …

Prehospital risk stratification in patients with chest pain

D Sagel, PJ Vlaar, R van Roosmalen… - Emergency Medicine …, 2021 - emj.bmj.com
Objectives The History, ECG, Age, Risk Factors and Troponin (HEART) Score is a decision
support tool applied by physicians in the emergency department developed to risk stratify …

Evaluation and comparison of six GRACE models for the stratification of undifferentiated chest pain in the emergency department

W Zheng, G Wang, J Ma, S Wu, H Zhang… - BMC cardiovascular …, 2020 - Springer
Abstract Background The Global Registry of Acute Coronary Events (GRACE) score is
recommended for stratifying chest pain. However, there are six formulas used to calculate …