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Intelligent Application to Detect Heart Disease Issues and Treatment
Aya Ismail Abdel Reda
1,*
, Mohammed Dauwed
1
1
Department of Computer, College Science, Baghdad University, Baghdad, Iraq
Article information
Article history:
Received: June, 01, 2022
Accepted: June, 30, 2022
Available online: July, 05, 2022
Keywords:
Intelligence,
Clinical Decision Support,
Electronic Health Record Systems
*Corresponding Author:
Aya Ismail Abdel Reda
mohalyasari@gmail.com
Citation : Reda, A. I. A. ., &
Dauwed, M. . (2022). Intelligent
Application to Detect Heart
Disease Issues and Treatment.
Journal of Advanced Sciences and
Nanotechnology, 1(2), 43–46.
https://doi.org/10.55945/joasnt.20
22.1.2.43-46.
Abstract
Intelligent Application to Detect Heart Disease Issues and
Treatment. It might have happened so many times that you or
someone yours need doctors help immediately, but they are not
available due to some reason. Intelligent application for detection
heart rate disease is an end user support provide an online/offline
consultation. Here, we propose an application that allows users to
get instant guidance on their heart disease through an intelligent
system. The application is fed with various details and the heart
disease associated with those details. The application allows user to
share their heart related issues. It then processes user specific details
to check for various illness that could be associated with it. Here we
use some intelligent data mining techniques to guess the most
accurate illness that could be associated with patient’s details.
Based on result, the can contact doctor accordingly for further
treatment. The system allows user to view doctor’s details too. The
system can be used for free heart disease consulting online or
offline.
DOI: 10.55945/joasnt.2022.1.2.43-46,
ISSN: 2791-0903/© This is an open access article under the CC BY License.
1. Introduction
The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly
be applied within the field. Several types of AI are already being employed by payers and providers of care,
and life sciences companies [1, 2]. The key categories of applications involve diagnosis and treatment
recommendations, patient engagement and adherence, and administrative activities. Although there are
many instances in which AI can perform healthcare tasks as well or better than humans, implementation
factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical
issues in the application of AI to healthcare are also discussed [3].
Heart disease is one of the most critical human diseases in the world and affects human life very badly.
In heart disease, the heart is unable to push the required amount of blood to other parts of the body. Accurate
and on time diagnosis of heart disease is important for heart failure prevention and treatment. The diagnosis
of heart disease through traditional medical history has been considered as not reliable in many aspects. To
classify the healthy people and people with heart disease, noninvasive-based methods such as machine
learning are reliable and efficient. Heart disease describes a range of conditions that affect your heart. Heart
diseases include: Blood vessel disease, such as coronary artery disease, Heart rhythm problems
(arrhythmias), Heart defects you're born with (congenital heart defects), Heart valve disease, Disease of the
Journal of Advanced Sciences and Nanotechnology, Vol. 1, No. 2 (2022)
Journal of Advanced Sciences and Nanotechnology