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An Internet of Things (IoT) Application for Predicting the Quantity of Future Heart Attack Patients

by Fizar Ahmed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 6
Year of Publication: 2017
Authors: Fizar Ahmed
10.5120/ijca2017913773

Fizar Ahmed . An Internet of Things (IoT) Application for Predicting the Quantity of Future Heart Attack Patients. International Journal of Computer Applications. 164, 6 ( Apr 2017), 36-40. DOI=10.5120/ijca2017913773

@article{ 10.5120/ijca2017913773,
author = { Fizar Ahmed },
title = { An Internet of Things (IoT) Application for Predicting the Quantity of Future Heart Attack Patients },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 6 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number6/27491-2017913773/ },
doi = { 10.5120/ijca2017913773 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:37.302476+05:30
%A Fizar Ahmed
%T An Internet of Things (IoT) Application for Predicting the Quantity of Future Heart Attack Patients
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 6
%P 36-40
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now days the heart disease is the leading cause of death worldwide. It is a complex task to predict the heart attack for a medical practitioner since it is required more experience and knowledge. However, heart rate monitoring is the most important scale of measurement that is the influence factor for heart attack with other health fitness like blood pressure, serum cholesterol and level of blood sugar. In the era of rapid revolution of Internet of things (IoT), the sensors for monitoring heart rate are growing in availability to patients. In this paper, I explained the architecture for heart rate and other data monitoring technique and I also explained how to use a machine learning technique like kNN classification algorithm to predict the heart attack by using the collected heart rate data and other health related perimeter.

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Index Terms

Computer Science
Information Sciences

Keywords

Internet of Things heart attract machine learning k nearest neighbour

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