cardiovascular
There are 5 repositories under cardiovascular topic.
- simple-android
simpledotorg / simple-android
An Android app for recording hypertension-related data.
Language:Kotlin 225 xliucs / MTTS-CAN
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
Language:Python 162- Language:Ruby 65
ferdavid1 / ArduPi-ECG
Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.
Language:Python 57- Language:Julia 27
laderast / cvdRiskData
R package for Cardiovascular Risk Dataset and Data generation script
Language:R 13Bohdan-Khomtchouk / cardioinformatics
Cardioinformatics: the nexus of bioinformatics and precision cardiology
Language:TeX 7MehradAria / FFR-Estimation
Non-Invasive Fractional Flow Reserve Estimation using Deep Learning on Intermediate Left Anterior Descending Coronary Artery Lesion Angiography Images
Language:Jupyter Notebook 5- Language:HTML 4
yahya-ansariii / CardiovascularRisk
Cardiovascular Risk Prediction - Classification
Language:Jupyter Notebook 3giannarelli-lab / Systems-immunology-based-drug-repurposing-framework-to-target-inflammation-in-atherosclerosis
Code used for data analysis of drug repurposing approach to target inflammation in atherosclerosis
Language:HTML 2hedayatbehnam / ctamace
CTAMACE is a web application which can be used to predict major cardiovascular events (MACE) two years following coronary multidetector computed tomography (MDCT) using combined anatomical coronary findings and clinical features
Language:R 2Predicting First-Year Survival after Percutaneous Coronary Interventions: A Machine Learning-Based ShinyApp Web Application in R
Language:R 2tkshirakawa / cv_net
A neural network for image segmentation of cardiovascular anatomies. MOVED to AIS Training Codeset, Jan 3, 2020.
ahmedhosny / av-generator
Web-based parametric aortic leaflet generator
Language:JavaScript 1christophersingh / Cardiovascular-Predictive-Modeling
A Comparison Of Machine Learning Models And Artificial Neural Networks For Detecting The Presence Of Cardiovascular Disease
Language:Jupyter Notebook 1ehsepulvedao / PatientEvoPhysio
Free open source Model Library designed to evaluate human physiological evolution in adulthood, childhood, neonatal and fetal life in the face of the occurrence of cardiovascular and respiratory anomalies or different clinical practices.
Language:Modelica 1- Language:HTML 1
idealab-isu / CircOpt
Optimization framework for automated patient-specific tuning of cardiovascular circulatory models
Language:MATLAB 1- Language:Java 1
isopleth / jCVSim
CVSim 1.16 cardiovascular simulation with simulation of breathing and intrathoracic pressure and reflex effects of breathing added.
Language:Java 1KIHeartFailure / bblEFover50
R code for the data managment and statistical analysis performed for Association between B-Blockers and Outcomes in HFpEF - Current Insights from the SwedeHF Registry.
Language:R 1Kushashu-1 / Disease-prediction-and-attribute-analyzation-Using-Machine-Learning
Disease Prediction and Analyzation of attributes
Language:Python 1peruginiandrea / scripts
Linking brain phenotypes to cardiovascular risk-factors through GWAS
Language:HTML 1profcturner / staff3anno
Maps the STAFF III Database of ECG data annotations file from one line per patient to one line per file
Language:Python 1sanjaybasu / SSBban
Cost-Effectiveness of a Workplace Ban on Sugar-Sweetened Beverage Sales
aa1823 / cvdheight
Analysis of patient data from a kaggle dataset to assess if tall people's risk of developing cardiovascular disease was higher than short people's.
Language:SAS 0ArashRabbani / AutoEncoderHeartCT
An auto-encoder for the heart 2.5-D CT images for dimension reduction
Language:Python 0iremcetin / radiomics_atrial_fibrillation
Identifying alterations in the cardiac ventricles using radiomics with an ensemble multi-classifier approach.
Language:Python 0JonasEmrich / prominence-delineator
A Physiology-Informed ECG Delineation Algorithm Based on Peak Prominence
Language:Jupyter Notebook 0pinglab-intern / CardioKG
Ping Lab Intern Project, Summar, 2022: :octocat: Link prediction through Graph Neural Network (GNN) model over the Knowledgegraph in the interface of Cardiovascular Disease (CVD) and Drugs.
Language:Jupyter Notebook 0Premedix-Academy / apelin_vs_atrial_fibrillation
Accompanying code for the paper "Association between apelin and atrial fibrillation in patients with high risk of ischemic stroke" (2021), Frontiers in cardiovascular medicine.
Language:Jupyter Notebook 0- Language:Python
Giubb8 / MachineLearning-Thesis
LaTeX source file for my Computer Science Thesis "Clinical Data Management Processes and Predictive Machine Learning Models Development for Diagnosis and Rehabilitation in the Cardiovascular Domain", which spans over 100 pages. Research was conducted in collaboration with the multinational company Dedalus
Language:TeXITISFoundation / CardiovascularControl-DBI
o²S²PARC implementation of the Cardiovascular Control model developed at the Daniel Baugh Institute, see [original repository](https://github.com/Daniel-Baugh-Institute/CardiovascularControl)
Language:MakefileYogiOnBioinformatics / B-Cells-In-Atherosclerosis
Work done during rotation with Coleen McNamara & Stefan Bekiranov in UVA BIMS PhD program
Language:Jupyter Notebook
