Nisha Mary1, Bilal Khan1, Abdullah A. Asiri2, Fazal Muhammad3,*, Salman Khan3, Samar Alqhtani4, Khlood M. Mehdar5, Hanan Talal Halwani4, Muhammad Irfan6, Khalaf A. Alshamrani2
CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6595-6616, 2022, DOI:10.32604/cmc.2022.032384
- 28 July 2022
Abstract Heart disease prognosis (HDP) is a difficult undertaking that requires knowledge and expertise to predict early on. Heart failure is on the rise as a result of today’s lifestyle. The healthcare business generates a vast volume of patient records, which are challenging to manage manually. When it comes to data mining and machine learning, having a huge volume of data is crucial for getting meaningful information. Several methods for predicting HD have been used by researchers over the last few decades, but the fundamental concern remains the uncertainty factor in the output data, as well… More >
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