Diagnosing Metabolic Syndrome Using Genetically Optimised Bayesian ARTMAP

• Main Authors: Kakudi, Habeebah Adamu, Loo, Chu Kiong, Moy, Foong Ming, Masuyama, Naoki, Pasupa, Kitsuchart
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2019
• Subjects: QA75 Electronic computers. Computer science; R Medicine
• Online Access: http://eprints.um.edu.my/24155/; https://doi.org/10.1109/ACCESS.2018.2880224

Metabolic Syndrome (MetS) constitutes of metabolic abnormalities that lead to non-communicable diseases, such as type II diabetes, cardiovascular diseases, and cancer. Early and accurate diagnosis of this abnormality is required to prevent its further progression to these diseases. This paper aims t...