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Decision making system using machine learning and Pearson for heart attack
, Anudeep duba, Rajasekhar reddy
Published in IEEE
Volume: 2017-January
Pages: 206 - 210
This informational collection is utilized to anticipate the odds of an event of heart assault for a patient. In the season of cutting edge smartphones contributing 12 attributes is not feasible. We play out the product metric examination on the given informational collection. In view of the investigation of information we try to bring the total number of attributes into a small figure and in the end, we may be able to choose which property can be considered and which characteristic can be disregarded. © 2017 IEEE.
About the journal
JournalData powered by Typeset2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)
PublisherData powered by TypesetIEEE
Open Access0