Original paper
Severe Dengue Prognosis Using Human Genome Data and Machine Learning
Volume: 66, Issue: 10, Pages: 2861 - 2868
Published: Oct 1, 2019
Abstract
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 present a machine learning approach for the prediction of dengue fever severity based solely on human genome data. Methods: One hundred and two Brazilian dengue patients and controls were genotyped for 322 innate immunity single nucleotide polymorphisms...
Paper Details
Title
Severe Dengue Prognosis Using Human Genome Data and Machine Learning
Published Date
Oct 1, 2019
Volume
66
Issue
10
Pages
2861 - 2868
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