Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks

BMC Bioinformatics

Volumn 15, Issue 1, 2014, Pages

  Kane, Michael J ^a   Price, Natalie ^b   Scotch, Matthew ^c   Rabinowitz, Peter ^d  

^a YALE UNIVERSITY   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

^d UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AVIAN INFLUENZA; RANDOM FORESTS; TIME SERIES MODELS;

ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AVIAN INFLUENZA; BIOLOGY; BIRD; COMPARATIVE STUDY; EGYPT; EPIDEMIC; HUMAN; INFLUENZA; INFLUENZA VIRUS A H5N1; METHODOLOGY; PHYSIOLOGY; STATISTICAL MODEL; STATISTICS; VIROLOGY;

ANIMALS; ARTIFICIAL INTELLIGENCE; BIRDS; COMPUTATIONAL BIOLOGY; DISEASE OUTBREAKS; EGYPT; HUMANS; INFLUENZA A VIRUS, H5N1 SUBTYPE; INFLUENZA IN BIRDS; INFLUENZA, HUMAN; MODELS, STATISTICAL;

EID: 84906828147     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-276     Document Type: Article

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