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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier B.V.
2022
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| Subjects: | |
| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/40182/ https://doi.org/10.1016/j.artmed.2022.102347 https://doi.org/10.1016/j.artmed.2022.102347 |
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http://umpir.ump.edu.my/id/eprint/40182/1/Cardiovascular%20disease%20detection%20from%20high%20utility%20rare.pdfhttp://umpir.ump.edu.my/id/eprint/40182/2/Cardiovascular%20disease%20detection%20from%20high%20utility%20rare%20rule%20mining_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40182/
https://doi.org/10.1016/j.artmed.2022.102347
https://doi.org/10.1016/j.artmed.2022.102347