Machine Learning-bases Cardiac Arrest Detection

Author(s)	Omkar Sawant, Siddhi Thakur, Jayant Nandwalkar
Country	India
Abstract	Coronary heart disease is the principal reason for deaths internationally. To present treatment for coronary heart ailment, lots of advanced technology is used. In scientific center it is the most commonplace hassle that a lot of medical persons do now not have same information and information to treat their patient so they deduce their personal decision and as a end result it shows poor final results and sometimes results in death. To triumph over those problems predictions of heart disorder using device gaining knowledge of algorithms and facts mining strategies, it emerge as smooth to automatic prognosis in hospitals as they are gambling important role in this regard. Heart disorders can be expected by appearing analysis on a patient's extraordinary health parameters.
Keywords	Machine learning, Cardiac Arrest Detection
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 2, March-April 2023
Published On	2023-04-24
Cite This	Machine Learning-bases Cardiac Arrest Detection - Omkar Sawant, Siddhi Thakur, Jayant Nandwalkar - IJFMR Volume 5, Issue 2, March-April 2023. DOI 10.36948/ijfmr.2023.v05i02.2289
DOI	https://doi.org/10.36948/ijfmr.2023.v05i02.2289
Short DOI	https://doi.org/gr6h9v

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