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The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality.
Ming, Damien K; Tuan, Nguyen M; Hernandez, Bernard; Sangkaew, Sorawat; Vuong, Nguyen L; Chanh, Ho Q; Chau, Nguyen V V; Simmons, Cameron P; Wills, Bridget; Georgiou, Pantelis; Holmes, Alison H; Yacoub, Sophie.
  • Ming DK; Centre for Antimicrobial Optimisation, Imperial College London, London, United Kingdom.
  • Tuan NM; Children's Hospital 1, Ho Chi Minh City, Vietnam.
  • Hernandez B; Oxford University Clinical Research Unit, Centre for Tropical Medicine, Ho Chi Minh City, Vietnam.
  • Sangkaew S; Centre for BioInspired Technology, Imperial College London, London, United Kingdom.
  • Vuong NL; Centre for Antimicrobial Optimisation, Imperial College London, London, United Kingdom.
  • Chanh HQ; Oxford University Clinical Research Unit, Centre for Tropical Medicine, Ho Chi Minh City, Vietnam.
  • Chau NVV; University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
  • Simmons CP; Oxford University Clinical Research Unit, Centre for Tropical Medicine, Ho Chi Minh City, Vietnam.
  • Wills B; Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
  • Georgiou P; Oxford University Clinical Research Unit, Centre for Tropical Medicine, Ho Chi Minh City, Vietnam.
  • Holmes AH; Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
  • Yacoub S; Institute of Vector Borne Disease, Monash University, Clayton, VIC, Australia.
Front Digit Health ; 4: 849641, 2022.
Article en En | MEDLINE | ID: mdl-35360365

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article