Cite
The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality
MLA
Damien K. Ming, et al. “The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality.” Frontiers in Digital Health, vol. 4, Mar. 2022. EBSCOhost, https://doi.org/10.3389/fdgth.2022.849641.
APA
Damien K. Ming, Nguyen M. Tuan, Bernard Hernandez, Sorawat Sangkaew, Nguyen L. Vuong, Ho Q. Chanh, Nguyen V. V. Chau, Cameron P. Simmons, Bridget Wills, Pantelis Georgiou, Alison H. Holmes, & Sophie Yacoub. (2022). The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality. Frontiers in Digital Health, 4. https://doi.org/10.3389/fdgth.2022.849641
Chicago
Damien K. Ming, Nguyen M. Tuan, Bernard Hernandez, Sorawat Sangkaew, Nguyen L. Vuong, Ho Q. Chanh, Nguyen V. V. Chau, et al. 2022. “The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality.” Frontiers in Digital Health 4 (March). doi:10.3389/fdgth.2022.849641.