Developing a dengue forecast model using machine learning: A case study in China

PLoS Neglected Tropical Diseases

Volumn 11, Issue 10, 2017, Pages

  Guo, Pi ^a   Liu, Tao ^b   Zhang, Qin ^c   Wang, Li ^a   Xiao, Jianpeng ^b   Zhang, Qingying ^a   Luo, Ganfeng ^a   Li, Zhihao ^b   He, Jianfeng ^b   Zhang, Yonghui ^b   Ma, Wenjun ^b  

^a SHANTOU UNIVERSITY MEDICAL COLLEGE   (China)

^b GUANGZHOU CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

^c CANCER HOSPITAL OF SHANTOU UNIVERSITY MEDICAL COLLEGE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

RAIN;

ARTICLE; CASE STUDY; CHINA; DENGUE; DISEASE SURVEILLANCE; ENVIRONMENTAL TEMPERATURE; EPIDEMIC; FORECASTING; GENERALIZED ADDITIVE MODEL; GRADIENT BOOSTED REGRESSION TREE ALGORITHM; HUMIDITY; INCIDENCE; LEARNING ALGORITHM; LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR LINEAR REGRESSION MODEL; MACHINE LEARNING; MEASUREMENT ACCURACY; METEOROLOGICAL PHENOMENA; NEGATIVE BINOMIAL REGRESSION MODEL; PREDICTION AND FORECASTING; SPATIOTEMPORAL ANALYSIS; STEP DOWN LINEAR REGRESSION MODEL; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; VALIDITY; ALGORITHM; CLIMATE; HUMAN; PREDICTIVE VALUE; PROCEDURES; PUBLIC HEALTH; STATISTICAL MODEL; TEMPERATURE; VIROLOGY;

ALGORITHMS; CHINA; CLIMATE; DENGUE; DISEASE OUTBREAKS; FORECASTING; HUMANS; INCIDENCE; LINEAR MODELS; MACHINE LEARNING; PREDICTIVE VALUE OF TESTS; PUBLIC HEALTH; TEMPERATURE;

EID: 85032635968     PISSN: 19352727     EISSN: 19352735     Source Type: Journal    
DOI: 10.1371/journal.pntd.0005973     Document Type: Article

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