Artificial Intelligence Model as Predictor for Dengue Outbreaks

• Main Authors: Raja, Dhesi Baha, Mallol, Rainier, Choo Yee, Ting, Kamaludin, Fadzilah, Ahmad, Rohani, Ismail, Suzilah, Jayaraj, Vivek Jason, Sundram, Murali
• Format: Article
• Language: English
• Published: Malaysian Public Health Physicians Association 2019
• Subjects: QA Mathematics
• Online Access: https://repo.uum.edu.my/id/eprint/30976/1/MJPHM%2019%2002%202019%20103-108.pdf; https://doi.org/10.37268/mjphm/vol.19/no.2/art.176; https://repo.uum.edu.my/id/eprint/30976/; https://mjphm.org/index.php/mjphm/issue/view/6; https://doi.org/10.37268/mjphm/vol.19/no.2/art.176

Dengue is an increasing threat in Malaysia, particularly in the more densely populated regions of the country. We present an Artificial Intelligence driven model in predicting Aedes outbreak, using predictors of weather variables and vector indices sourced from the Ministry of Health. Analysis and p...