Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias

• URL: http://arxiv.org/abs/2208.10463v1
• Date: Mon, 22 Aug 2022 17:33:59 GMT
• Title: Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias
• Authors: Samuel Armstrong
• Abstract summary: Machine learning techniques may not be feasible for real-time analysis of data pulled from live hospital feeds. In this project, different machine learning techniques are compared to find one that provides not only high accuracy but also low latency and memory overhead to be used in real-world health care systems.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Many works in biomedical computer science research use machine learning techniques to give accurate results. However, these techniques may not be feasible for real-time analysis of data pulled from live hospital feeds. In this project, different machine learning techniques are compared from various sources to find one that provides not only high accuracy but also low latency and memory overhead to be used in real-world health care systems.

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