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
This demo is developed using PIC18-Q10 family MCU and Curiosity Nano development board. The demo demonstrates the usage of ADCC with hardware CVD technique and PWM peripherals of PIC18F47Q10 MCU to control DC motor through capacitive touch interface.
Centroidal Voronoi Diagram of a mesh's surface using an iterative discrete clustering algorithm on graphs.
Repository for simulation files and input/output files used in the hypertension treatment coverage and adherence study.
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.
A detailed comparative analysis with proposed best model to detect CVDs early
The archive for data, scripts, and outputs for the paper "Bacterial and Immunological Mediators linking Caregiving with Metabolic Syndrome".
Arduino sketch for wearable prototype to assist with colour identification.
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.
Register `cividis` with matplotlib, a color map optimized for color vision deficiency, as published in Nuñez, et al. (2018), PLoS ONE 13(7): e0199239 .
A package for running experiments with VAEs for ECG data, including a supervised head designed for survival analysis of cardiovascular disease events.
image segmentation for SVD graphene SEM images
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