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- W4361732242 abstract "Now a days Sudden Cardiac Death become a major problem in the healthcare field. Due to sudden cardiac arrest, the probability of survival of a person is very low. An early prediction of cardiac arrest can help to increase the survival rate of a person so that necessary treatment can be started as soon as possible. In recent times traditional methods have been used for the prediction of sudden cardiac arrest. But nowadays artificial intelligence approach has been used for the early prediction of cardiac arrest on a complex dataset which provides a remarkable result than the traditional method. An exploratory review on Sudden cardiac arrest has been carried out through IEEE explorer, Elsevier, Google Scholar, Springer Link and Science Direct database. These reviews have been done between the years 2015 and 2022." @default.
- W4361732242 created "2023-04-04" @default.
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- W4361732242 date "2022-12-16" @default.
- W4361732242 modified "2023-09-27" @default.
- W4361732242 title "Prediction of Cardiac Arrest using Artificial Intelligence - A Systematic Review" @default.
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- W4361732242 doi "https://doi.org/10.1109/icac3n56670.2022.10074035" @default.
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