Decision Tree Algorithms Predict the Diagnosis and Outcome of Dengue Fever in the Early Phase of Illness
PLoS neglected tropical diseases2008Vol. 2(3), pp. e196–e196
Citations Over TimeTop 10% of 2008 papers
Lukas B. Tanner, Mark Schreiber, Jenny G. Low, Adrian Ong, Thomas Tolfvenstam, Yee Ling Lai, Lee Ching Ng, Yee Sin Leo, Le Thi Puong, Subhash G. Vasudevan, Cameron P. Simmons, Martin L. Hibberd, Eng Eong Ooi
Abstract
This study shows a proof-of-concept that decision algorithms using simple clinical and haematological parameters can predict diagnosis and prognosis of dengue disease, a finding that could prove useful in disease management and surveillance.
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