IEEE - Institute of Electrical and Electronics Engineers, Inc. - Severe Dengue Prognosis Using Human Genome Data and Machine Learning

Author(s): Caio Davi ; Andre Pastor ; Thiego Oliveira ; Fernando B. de Lima Neto ; Ulisses Braga-Neto ; Abigail W. Bigham ; Michael Bamshad ; Ernesto T. A. Marques ; Bartolomeu Acioli-Santos
Sponsor(s): IEEE Engineering In Medicine and Biology Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2019
Volume: 66
Page(s): 2,861 - 2,868
ISSN (Electronic): 1558-2531
ISSN (Paper): 0018-9294
DOI: 10.1109/TBME.2019.2897285
Regular:

Dengue has become one of the most important worldwide arthropod-borne diseases. Dengue phenotypes are based on laboratorial and clinical exams, which are known to be inaccurate. Objective: We... View More

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