The diagnosis of dengue in patients presenting with acute febrile illness using supervised machine learning and impact of seasonality

The diagnosis of dengue in patients presenting with acute febrile illness using supervised machine learning and impact of seasonality

Background: Symptomatic 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 pat...

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Những tác giả chính:	Ming, DK, Tuan, NM, Hernandez, B, Sangkaew, S, Vuong, NL, Chanh, HQ, Chau, NVV, Simmons, CP, Wills, B, Georgiou, P, Holmes, AH, Yacoub, S
Tác giả khác:	Vietnam ICU Translational Applications Laboratory (VITAL) Investigators
Định dạng:	Journal article
Ngôn ngữ:	English
Được phát hành:	Frontiers Media 2022

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