A machine learning method to monitor China’s AIDS epidemics with data from Baidu trends

PLoS ONE

Volumn 13, Issue 7, 2018, Pages

  Nan, Yongqing ^a   Gao, Yanyan ^a  

^a Southeast University   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHINA; CORRELATION COEFFICIENT; DEATH; DISEASE SURVEILLANCE; EPIDEMIC; FORECASTING; HUMAN; INCIDENCE; INTERNET; MACHINE LEARNING; PERCEPTRON; SEARCH ENGINE; STATISTICS AND NUMERICAL DATA;

ACQUIRED IMMUNODEFICIENCY SYNDROME; CHINA; EPIDEMICS; HUMANS; MACHINE LEARNING;

EID: 85049671497     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0199697     Document Type: Article

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