Name: Nandakumar P
Type: User
Company: Vellore Institute of Technology
Bio: Research Scholar at VIT University, Vellore. My areas of interest are machine learning, deep learning, optimization, data science, bio-inspired computing.
Nandakumar P's Projects
Artificial Intelligence (AI) tool can effectively identify and distinguish between two life-threatening heart conditions that are often easy to miss: hypertrophic cardiomyopathy and cardiac amyloidosis. Machine learning (ML)βthe use of computer algorithms that can learn complex patterns from data. The correct prediction of heart disease can prevent life threats. Expected results can increase very much in deep learning when compare to machine learning as well.
Using deep learning and machine learning to predict Cardiovascular disease(CVD)
About data science
The Leek group guide to data sharing
A Review of Deep Learning Methods on ECG Data
ECG arrhythmia classification using a 2-D convolutional neural network
ECG Arrhythmia classification using CNN
Cardiac Disease - Arrhythmia Prediction
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
Assignments
Heart Disease Analysis repository
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease
Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.
Heart disease prediction is a required thing in current life style to save the lives of many people in the globe.
Heart Disease prediction using 5 algorithms
Scripts for indicTrans
Interested in ML and DL research can download this Ebook definitely for their improvement in that field.
Repository for Programming Assignment 2 for R Programming on Coursera