Classification of Cardiovascular Disorders using machine learning, Data Analysis of NHANES dataset and Visualizaiong the results
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Updated
Apr 13, 2023 - Python
Classification of Cardiovascular Disorders using machine learning, Data Analysis of NHANES dataset and Visualizaiong the results
Family history and polygenic risk of cardiovascular disease: independent factors associated with secondary cardiovascular manifestations in patients undergoing carotid endarterectomy
The archive for data, scripts, and outputs for the paper "Bacterial and Immunological Mediators linking Caregiving with Metabolic Syndrome".
Register `cividis` with matplotlib, a color map optimized for color vision deficiency, as published in Nuñez, et al. (2018), PLoS ONE 13(7): e0199239 .
Arduino sketch for wearable prototype to assist with colour identification.
A package for running experiments with VAEs for ECG data, including a supervised head designed for survival analysis of cardiovascular disease events.
Repository for simulation files and input/output files used in the hypertension treatment coverage and adherence study.
This repo includes the pipeline used to link and curate CVD PREVENT audit data to HES and death registration data into two tables. These are subsequently sent to OHID for analysis and publication.
Centroidal Voronoi Diagram of a mesh's surface using an iterative discrete clustering algorithm on graphs.
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.
Monitoring application for Arduino based wearable prototype to assist with colour identification.
Rust crates for working with color vision and color vision deficiency (CVD)
Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study.
A detailed comparative analysis with proposed best model to detect CVDs early
image segmentation for SVD graphene SEM images
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