论文标题
调查机器学习技术以预测心跳心律不齐
Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias
论文作者
论文摘要
许多在生物医学计算机科学研究中使用机器学习技术来获得准确的结果。但是，这些技术对于从现场医院饲料中提取的数据实时分析可能是不可行的。在这个项目中，将不同的机器学习技术从各种来源进行比较，以找到不仅提供高精度，而且提供低延迟和内存开销，以在现实世界中的医疗保健系统中使用。
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.
