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Severe Dengue Prognosis Using Human Genome Data and Machine Learning

4 Feb 2019

Abstract excerpt

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...

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PMID: 30716030
DOI: 10.1109/tbme.2019.2897285

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