Comparing machine learning with case-control models to identify confirmed dengue cases.

• Main Authors: Tzong-Shiann Ho (Author), Ting-Chia Weng (Author), Jung-Der Wang (Author), Hsieh-Cheng Han (Author), Hao-Chien Cheng (Author), Chun-Chieh Yang (Author), Chih-Hen Yu (Author), Yen-Jung Liu (Author), Chien Hsiang Hu (Author), Chun-Yu Huang (Author), Ming-Hong Chen (Author), Chwan-Chuen King (Author), Yen-Jen Oyang (Author), Ching-Chuan Liu (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2020-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

In recent decades, the global incidence of dengue has increased. Affected countries have responded with more effective surveillance strategies to detect outbreaks early, monitor the trends, and implement prevention and control measures. We have applied newly developed machine learning approaches to...