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...

书目详细资料
Main Authors:	Ming, DK, Tuan, NM, Hernandez, B, Sangkaew, S, Vuong, NL, Chanh, HQ, Chau, NVV, Simmons, CP, Wills, B, Georgiou, P, Holmes, AH, Yacoub, S
其他作者:	Vietnam ICU Translational Applications Laboratory (VITAL) Investigators
格式:	Journal article
语言:	English
出版:	Frontiers Media 2022

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