coronary-heart-disease
There are 0 repository under coronary-heart-disease topic.
arrafi-musabbir / coronary-artery-stenosis-detection
Coronary artery stenosis detection using Faster RCNN
Language:Jupyter Notebook 18- A-Stacking-Based-Model-for-Non-Invasive-Detection-of-Coronary-Heart-Disease
arash-mehrzadi / A-Stacking-Based-Model-for-Non-Invasive-Detection-of-Coronary-Heart-Disease
A Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease
Language:Python 5 VISEF-ISEF-team / VascuIAR
VasculAR - Integration of Deep Learning into automatic volumetric cardiovascular dissection and reconstruction in simulated 3D space for medical practice
Language:Python 5RoelvH97 / FanCNN
Code accompanying the paper 'Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors' (IEEE-TMI)
Language:Python 3DohaoSTR / coronary-heart-disease-analysis
Coronary heart disease analysis, dataset - https://www.kaggle.com/datasets/billbasener/coronary-heart-disease. For analysis i used: k-means clustering, k-neighbors classifier, decision tree classifier. Libraries: scikit-learn.
Language:Python 2marcouderzo / CoronaryHeartDisease-Prediction
Statistical Learning Project, Data Science @ UniPD. Prediction of Coronary Artery Disease using Statistical Learning Models
Language:R 1Pradip240 / Cardiovascular-Risk-Prediction
The project goal is to predict whether the patient has a 10-year risk of future coronary heart disease (CHD). The dataset is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts.
Language:Jupyter Notebook 1JediKnightChan / CAD-Research
Coronary artery disease prediction based on polygenical risk scores and biochemical factors
Language:Jupyter Notebook 0Prasanna-Pawar21 / Predictive-Modeling-in-Computational-Diagnosis-of-Coronary-Heart-Disease.
Exploring diverse machine learning models to identify an optimal predictor for accurately forecasting the 10-year risk of diagnosing Coronary Artery Disease. Leveraging a range of health indicators and predictors, this project aims to enhance prediction accuracy and contribute valuable insights into proactive healthcare.
0sxtforreal / PlusDS
Identified the drivers of the risk of coronary heart disease and cardiovascular disease using the Sleep Heart Health Study dataset
Language:R 0visheshgupta-BA / Predictive-Healthcare-Analytics-using-ML
This is a web application that aims to help with the diagnosis of various diseases such as breast cancer, chronic kidney disease, coronary heart disease, liver disease, and diabetes mellitus by analyzing different parameters. The application employs machine learning models on the backend, which is a technique of integrating several ML models
Language:Jupyter Notebook