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Intelligent Diagnostic units of Cardiac disorders | 60708
Journal of Information Technology & Software Engineering

Journal of Information Technology & Software Engineering
Open Access

ISSN: 2165- 7866

Intelligent Diagnostic units of Cardiac disorders


10th International Conference on Data Science and Machine Learning Applications

August 08, 2022 | Webinar

Uzair Iqbal

National University of Computer and Emerging Sciences

Scientific Tracks Abstracts: J Inform Tech Softw Eng

Abstract :

Cardiovascular diseases are the most common cause of death worldwide over the last few decades in the developed as well as underdeveloped and developing countries. Early detection of cardiac diseases and continuous supervision of clinicians can reduce the mortality rate.Nearly everyone now carries a smartphone, and millions of people use wearable devices to track their health using Apple Watch or Fitbit devices. So, it should not be surprising that these devices and smartphone apps are being leveraged by both consumers and healthcare professionals to better monitor patient health. Instead of an annual visit, health tracking information for many patients is now available 24-7 for the entire year. Smart software and AI is being incorporated into the wearable and app algorithms to detect abnormally high heart rates, arrhythmias, and other factors to alert patients to contact their doctors. This consumer-grade early warning network will likely play a big role in the coming years to automatically triage patients and help know when they should seek professional healthcare help.

Biography :

Uzair Iqbal is an Asst. Professor Department of Computer Science FAST-National University of Computer and Emerging Sciences, and also CFD Campus Member: European Society of Cardiology (ESC) l INSTICC

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