The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality

• Main Authors: Damien K. Ming (Author), Nguyen M. Tuan (Author), Bernard Hernandez (Author), Sorawat Sangkaew (Author), Nguyen L. Vuong (Author), Ho Q. Chanh (Author), Nguyen V. V. Chau (Author), Cameron P. Simmons (Author), Bridget Wills (Author), Pantelis Georgiou (Author), Alison H. Holmes (Author), Sophie Yacoub (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundSymptomatic dengue infection can result in a life-threatening shock syndrome and timely diagnosis is essential. Point-of-care tests for non-structural protein 1 and IgM are used widely but performance can be limited. We developed a supervised machine learning model to predict whether patie...