Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Heart Diseases Diagnose via Artificial Intelligence-Powered Mobile Application

Version 1 : Received: 14 January 2021 / Approved: 15 January 2021 / Online: 15 January 2021 (12:45:45 CET)

A peer-reviewed article of this Preprint also exists.

Güven, M.; Hardalaç, F.; Özışık, K.; Tuna, F. Heart Diseases Diagnose via Mobile Application. Appl. Sci. 2021, 11, 2430. Güven, M.; Hardalaç, F.; Özışık, K.; Tuna, F. Heart Diseases Diagnose via Mobile Application. Appl. Sci. 2021, 11, 2430.


One of the oldest and common methods of diagnosing heart abnormalities is auscultation. Even for experienced medical doctors, it is not an easy task to detect abnormal patterns in the heart sounds. Most of the digital stethoscopes are now capable of recording and transferring the heart sounds. Moreover, it is proven that auscultation records can be classified as healthy or unhealthy via artificial intelligence techniques. In this work, an artificial intelligence-powered mobile application that works in a connectionless fashion is presented. According to the clinical experiments, the mobile application can detect heart abnormalities with approximately 92% accuracy which is comparable if not better than humans since only a small number of well-trained cardiologists can analyze auscultation records better than artificial intelligence. Using the diagnostic ability of artificial intelligence in a mobile application would change the classical way of auscultation for heart disease diagnosis.


Heart diseases; Auscultation; Machine learning; Telemedicine; Digital Stethoscope


Computer Science and Mathematics, Algebra and Number Theory

Comments (1)

Comment 1
Received: 31 January 2023
The commenter has declared there is no conflict of interests.
Comment: For citation, please use the original published version;

Heart Diseases Diagnose via Mobile Application
by Mesut Güven 1,*ORCID,Fırat Hardalaç 1,Kanat Özışık 2 andFunda Tuna 2
Electrical and Electronics Engineering Department, Gazi University, Ankara 06570, Turkey
Cardiovascular Surgery Department, Ankara City Hospital, Ankara 06800, Turkey
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(5), 2430;
Received: 8 February 2021 / Revised: 26 February 2021 / Accepted: 2 March 2021 / Published: 9 March 2021
+ Respond to this comment

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 1
Metrics 0

Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.