Risk prediction models for peri-operative mortality in patients undergoing major vascular surgery with particular focus on ruptured abdominal aortic aneurysms: a …
Purpose. The present scoping review aims to describe and analyze available clinical data
on the most commonly reported risk prediction indices in vascular surgery for perioperative …
on the most commonly reported risk prediction indices in vascular surgery for perioperative …
Comparing machine learning algorithms to predict vegetation fire detections in Pakistan
Vegetation fires have major impacts on the ecosystem and present a significant threat to
human life. Vegetation fires consists of forest fires, cropland fires, and other vegetation fires …
human life. Vegetation fires consists of forest fires, cropland fires, and other vegetation fires …
Machine learning‐based prediction of 1‐year mortality in hypertensive patients undergoing coronary revascularization surgery
Background Machine learning (ML) has shown promising results in all fields of medicine,
including preventive cardiology. Hypertensive patients are at higher risk of mortality after …
including preventive cardiology. Hypertensive patients are at higher risk of mortality after …
Risk factors of in-hospital mortality for isolated on-pump coronary artery bypass graft surgery in the northeast of Iran from 2007 to 2016
Background and objective Coronary artery bypass graft (CABG) surgery is the most common
cardiac surgery worldwide. The reported mortality rates for this operation vary greatly. We …
cardiac surgery worldwide. The reported mortality rates for this operation vary greatly. We …
Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach
Background Acute kidney injury (AKI) is one of the preventable complications of
percutaneous coronary intervention (PCI). This study aimed to develop machine learning …
percutaneous coronary intervention (PCI). This study aimed to develop machine learning …
[PDF][PDF] Lactate-related gene signatures as prognostic predictors and comprehensive analysis of immune profiles in nasopharyngeal carcinoma
C Liu, C Ni, C Li, H Tian, W Jian, Y Zhong… - Journal of Translational …, 2024 - Springer
Objectives Nasopharyngeal carcinoma (NPC) is an aggressive malignancy with high rates
of morbidity and mortality, largely because of its late diagnosis and metastatic potential …
of morbidity and mortality, largely because of its late diagnosis and metastatic potential …
A Review on Machine Learning Applications: CVI Risk Assessment
Sažetak Comprehensive literature has been published on the development of digital health
applications using machine learning methods in cardiovascular surgery. Many machine …
applications using machine learning methods in cardiovascular surgery. Many machine …
Prediction of coronary artery bypass graft outcomes using a single surgical note: An artificial intelligence-based prediction model study
J Del Gaizo, C Sherard, K Shorbaji, B Welch, R Mathi… - Plos one, 2024 - journals.plos.org
Background Healthcare providers currently calculate risk of the composite outcome of
morbidity or mortality associated with a coronary artery bypass grafting (CABG) surgery …
morbidity or mortality associated with a coronary artery bypass grafting (CABG) surgery …
Mortality across the spectrum of hemoglobin level in patients undergoing surgical coronary revascularization
Abstract Background Preoperative hemoglobin (Hb) level is a predictor of in‐hospital and
midterm mortality in patients undergoing coronary artery bypass grafting surgery (CABG) …
midterm mortality in patients undergoing coronary artery bypass grafting surgery (CABG) …
Heart surgery over two decades: what we have learned about results and changing risks
Objectives Using the cardiac surgery database is of high importance in referral centers and
can lead to a better quality of care for patients. Tehran Heart Center (THC) is a …
can lead to a better quality of care for patients. Tehran Heart Center (THC) is a …