Cardiovascular disease detection from high utility rare rule mining

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Cardiovascular disease detection from high utility rare rule mining

We propose a method to search rare cardiovascular disease symptom rules from historical health examination records according to its hazard ratio utility and further detect the disease given new medical record data. Further, we aim to assist both medical experts and patients by alerting the current s...

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Bibliographic Details
Main Authors:	Iqbal, Mohammad, Setiawan, Muhammad Nanda, Isa Irawan, Mohammad Isa, Ku Muhammad Naim, Ku Khalif, Noryanti, Muhammad, Mohd Khairul Bazli, Mohd Aziz
Format:	Article
Language:	English English
Published:	Elsevier B.V. 2022
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/40182/ http://umpir.ump.edu.my/id/eprint/40182/1/Cardiovascular%20disease%20detection%20from%20high%20utility%20rare.pdf http://umpir.ump.edu.my/id/eprint/40182/2/Cardiovascular%20disease%20detection%20from%20high%20utility%20rare%20rule%20mining_ABS.pdf

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