Cardiac Arrest Data Error Comparison Using Big Data Analysis


Each and every day many people were not aware of cardiac arrest due to their daily routine and unhealthy food habits on their day to day routine. This paper shows the advantages of big data than our traditional data bases that manipulates data. In addition, to predict the patients who are supposed to get a cardiac arrest in the future. Keywords : cardiac arrest – data analysis – big data – pyspark – rdd – mllib - machine learning.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL