News

The Cardiology Advisor1d
PREVENT Equations Better Predict 10-Year ASCVD Risk Among US Adults
The AHA’s PREVENT equations, compared with pooled cohort equations, can better predict 10-year ASCVD risk among US adults.
New AI Spots Hidden Heart Attack Risk at the Click of a Button
A new AI tool can rapidly detect hidden cardiovascular and fall risks in older adults using routine bone scans by identifying ...
EurekAlert!1mon
Wearable technology continuously monitors heart-rate recovery to predict risk
The time it takes the heart to return to its baseline rhythm after exercise can predict a host of cardiovascular ... coronary artery disease, diabetes mellitus, hypertension and sudden cardiac ...
The Lancet2mon
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study
Model performance was evaluated on single ECG–echocardiogram pairs per patient at Boston Children's Hospital (Boston, MA, USA) and externally at the Children's Hospital of Philadelphia (Philadelphia, ...
BMJ3mon
Determining kidney function-specific thresholds for N-terminal pro-B-type natriuretic peptide in heart failure risk prediction among patients with chronic kidney disease: a ...
Background Elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels are common in patients with chronic kidney disease (CKD), but uniform thresholds derived from the general population ...
lupus.bmj3mon
Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database
(2) Comorbidities, including diabetes, hypertension, coronary heart disease ... by multiple imputation using a Random Forest (RF) algorithm (trained by other non-missing variables) by the ‘mice’ ...
GitHub8mon
Antonin-w/Heart_Failure_Prediction_with_R
The Cholesterol column bas been removed because many 0 within population with Heart disease. Biologically ... Replace 0 values using the k-mean algorithm. Observe prediction results and choose the ...
TechCrunch8mon
Heart disease is the world’s biggest killer — this Cambridge Uni spinout is using AI to find new treatments
By analyzing vast amounts of biological data, AI can help researchers predict how different chemical ... At the top of the list is ischemic heart disease (coronary heart disease), responsible ...
The Lancet11mon
Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study
Published by Elsevier Ltd. Broad-capture proteomic technologies have the potential to improve disease prediction, enabling targeted prevention ... we estimated integrated Brier scores in the ...
GitHub11mon
Heart-Disease-Prediction-using-Bayesian-Network
This repository encompasses the code and report for the "B.Tech 4th year Major Project" curriculum at Indian Institute of Engineering Science and Technology, Shibpur. Cardiovascular diseases (CVDs) ...
Scientific Research Publishing1y
Ramalingam, V., Dandapath, A. and Karthik, R.M. (2018) Heart Disease Prediction Using Machine Learning Techniques: A Survey.
To solve this issue, predicting early heart disease is important. This research focuses on supervised machine learning techniques as a potential tool for heart disease prediction ... that analyze more ...