GitHub topics: cardiovascular-disease
danihae/SarcAsM
A Python package for AI-based comprehensive analysis of sarcomere structure and function in cardiomyocytes
Language: Python - Size: 538 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 10 - Forks: 1
dvaiman/WT_WP1_P3_R
Emulated target trial analyzing workplace health assessments and cardiovascular risk in 2,091,421 Swedish workers
Language: R - Size: 4.23 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
thbuerg/NeuralCVD
🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for 10 year risk of major adverse cardiac events in the UK Biobank cohort" 🫀
Language: Jupyter Notebook - Size: 4.09 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 5
iyekneau/CDC-US-Cardiovascular-Death-Rate-Trend-Analysis-in-R
I made an R script and preprocessed some CDC data for analysis in R. Hope to add on to it soon.
Size: 88.9 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
haseebshaik00/Detecting-Heart-Diseases
Comparative Analysis for Various Classification Machine Learning Algorithms for Detecting Heart Diseases
Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
Data-Science-Community-SRM/Ailment
This project comprises predicting different types of disease at one place Pneumonia, Malaria, Liver Disease and Cardiovascular Disease
Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3
ChaitanyaDatta/Ensemble-Learning
Ensemble Learning
Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
swvanderlaan/2016_jacc_27561768_vanderlaan_sw_cystatinc
Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study.
Language: R - Size: 550 KB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
sourrinn/rnn-for-cardiovascular-disease-detection
The RNN for Cardiovascular Disease Detection project is an innovative application of deep learning techniques to detect and predict cardiovascular diseases using recurrent neural networks (RNNs). Built using Python, TensorFlow, and Keras, this project aims to provide a reliable tool for early detection and diagnosis of cardiovascular diseases.
Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
AngusNicolson/cvd-vae
A package for running experiments with VAEs for ECG data, including a supervised head designed for survival analysis of cardiovascular disease events.
Language: Python - Size: 179 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
mathlimam/HeartDiseaseRiskLR
This project contains a Python implementation of logistic regression to predict the risk of developing heart disease in the next 10 years, based on the Framingham dataset from Kaggle. The implementation achieved an accuracy of 87.27% on the test set. The code is available on GitHub under the repository name "HeartDiseaseRiskLR".
Language: Python - Size: 54.7 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
matthiaszeller/VAD-0D-DNN
Code for paper "Deep Neural Network to Accurately Predict Left Ventricular Systolic Function Under Mechanical Assistance", Bonnemain et al.
Language: Modelica - Size: 40.2 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
