Author:
Kalpana P,Shiyam Vignesh S,Surya L M P,Vishnu Prasad V
Abstract
Abstract
We want to give adherence to situ to identify the symptoms of heart disease in the first stage and stop it, given the increased increase in stroke rate at the tender level. It’s funny for the average man to show the more expensive electrocardiogram questions every day. Because of this, there should be a favorable consensus in the area at a consistent time when the risk of heart disease is predicted. For this reason, we want to create an Assistant in the nursing framework that can predict the risk of heart disease based on key indicators such as age, gender, and heart rate. Neural codes for learning neural codes are well tested to be the most reliable and robust, and as a result, included in the predicted correlation.
Subject
General Physics and Astronomy
Reference9 articles.
1. Prediction of heart condition victimisation Machine Learning Algorithms-Naïve Bayes, Introduction to committee algorithmic rule;Prerana;Comparison of Algorithms and HDP,2015
2. Using the Extreme Learning Machine (ELM) technique for heart disease diagnosis
3. Efficient Diagnosis of Liver Disease using Support Vector Machine Optimized with Crows Search Algorithm;Devikanniga,2018
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