[HTML][HTML] Machine learning improves mortality risk prediction after cardiac surgery: systematic review and meta-analysis
U Benedetto, A Dimagli, S Sinha, L Cocomello… - … cardiovascular surgery, 2022 - Elsevier
… Interest in the usefulness of machine learning (ML) methods for outcomes prediction has …
between ML models versus LR in predicting operative mortality following cardiac surgery. …
between ML models versus LR in predicting operative mortality following cardiac surgery. …
[HTML][HTML] Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks
… risk variables and predict mortality after cardiac surgery by using artificial neural networks. …
to develop a method for mortality prediction after cardiac surgery and to identify and rank the …
to develop a method for mortality prediction after cardiac surgery and to identify and rank the …
Mortality prediction in cardiac surgery patients: comparative performance of Parsonnet and general severity systems
J Martinez-Alario, ID Tuesta, E Plasencia, M Santana… - Circulation, 1999 - Am Heart Assoc
… and were compared with actual mortality rates. … mortality in cardiac surgery patients. In our
experience, the general severity systems perform well to predict mortality after cardiac surgery, …
experience, the general severity systems perform well to predict mortality after cardiac surgery, …
The importance of independent risk‐factors for long‐term mortality prediction after cardiac surgery
IK Toumpoulis, CE Anagnostopoulos… - European journal of …, 2006 - Wiley Online Library
… in the prediction of long-term mortality after cardiac surgery: … risk of long-term mortality after
cardiac surgery. These include … The EuroSCORE model was constructed to predict mortality …
cardiac surgery. These include … The EuroSCORE model was constructed to predict mortality …
Systematic review and meta-analysis of mortality risk prediction models in adult cardiac surgery
S Sinha, A Dimagli, L Dixon, M Gaudino… - … Cardiovascular and …, 2021 - academic.oup.com
… mortality risk prediction models in cardiac surgery are the European System for Cardiac …
ES2 and STS are reliable predictors of short-term mortality following adult cardiac surgery in the …
ES2 and STS are reliable predictors of short-term mortality following adult cardiac surgery in the …
Prediction of mortality in intensive care unit cardiac surgical patients
K Hekmat, F Doerr, A Kroener… - … -thoracic surgery, 2010 - academic.oup.com
… the prediction of outcome in cardiac surgical … cardiac surgery patients. Thus, it may serve
as an expert system for diagnosing organ failure and predicting mortality in ICU cardiac surgical …
as an expert system for diagnosing organ failure and predicting mortality in ICU cardiac surgical …
Predicting hospital mortality and analysis of long-term survival after major noncardiac complications in cardiac surgery patients
PB Rahmanian, DH Adams, JG Castillo… - … of thoracic surgery, 2010 - Elsevier
… The distribution of cardiac surgery procedures in this cohort was … The predicted and observed
mortality of the verification … that our model more accurately predicted mortality as shown in …
mortality of the verification … that our model more accurately predicted mortality as shown in …
Mortality risk prediction in cardiac surgery: comparing a novel model with the EuroSCORE
KS Berg, R Stenseth, H Pleym… - Acta …, 2011 - Wiley Online Library
… local mortality risk prediction model, compare it with the European System for Cardiac Operative
… Internal validation indicated that it would accurately predict mortality in a future dataset. …
… Internal validation indicated that it would accurately predict mortality in a future dataset. …
Machine learning methods for predicting long-term mortality in patients after cardiac surgery
Y Yu, C Peng, Z Zhang, K Shen, Y Zhang… - … in Cardiovascular …, 2022 - frontiersin.org
… Among the many scores that have been proposed, the original EuroSCORE, EuroSCORE
II and STS scores are the most widely used to predict mortality after cardiac surgery. However, …
II and STS scores are the most widely used to predict mortality after cardiac surgery. However, …
Predictive utility of a machine learning algorithm in estimating mortality risk in cardiac surgery
A Kilic, A Goyal, JK Miller, E Gjekmarkaj… - … of thoracic surgery, 2020 - Elsevier
… There have been few prior studies utilizing machine learning approaches to risk prediction
in cardiac surgery. A single-center study involving 6520 patients demonstrated that an …
in cardiac surgery. A single-center study involving 6520 patients demonstrated that an …