Heart disease prediction using ensemble of k-nearest neighbour, random forest and logistic regression method

• Main Authors: Mohd Syafiq Asyraf, Suhaimi, Nor Azuana, Ramli, Noryanti, Muhammad
• Format: Article
• Language: English; English
• Published: AIP Publishing 2024
• Subjects: QA75 Electronic computers. Computer science; RC Internal medicine
• Online Access: http://umpir.ump.edu.my/id/eprint/41052/1/syafiqicoaims.pdf; http://umpir.ump.edu.my/id/eprint/41052/7/Heart%20disease%20prediction%20using%20ensemble%20of%20k-nearest_ABST.pdf; http://umpir.ump.edu.my/id/eprint/41052/; https://doi.org/10.1063/5.0192203; https://doi.org/10.1063/5.0192203

Coronary heart disease has been ranked as the number one leading cause of death in Malaysia. Based on the recent data published by WHO in 2018, death caused by this disease has reached 34,766 which brought up to 24.69 of the total deaths and places the Malaysian population 64th in the world. Medical...