Use of genetic algorithm and neural network approaches for risk factor selection: A case study of West Nile virus dynamics in an urban environment

2010 ◽  
Vol 34 (3) ◽  
pp. 189-203 ◽  
Author(s):  
Debarchana Ghosh ◽  
Rajarshi Guha
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Risk Factor ◽  
West Nile Virus ◽  
Urban Environment ◽  
Virus Dynamics ◽  
West Nile ◽  
Network Approaches

A Neural Network-Based Method for Risk Factor Analysis of West Nile Virus

Risk Analysis ◽  
2008 ◽  
Vol 28 (2) ◽  
pp. 487-496 ◽  
Author(s):  
Leilei Pan ◽  
Lixu Qin ◽  
Simon X. Yang ◽  
Jiangping Shuai
Keyword(s):  
Neural Network ◽  
Factor Analysis ◽  
Risk Factor ◽  
West Nile Virus ◽  
Risk Factor Analysis ◽  
West Nile

scholarly journals Improving applicability of neuro-genetic algorithm to predict short-term water level: a case study

2013 ◽  
Vol 16 (1) ◽  
pp. 218-230 ◽  
Author(s):  
Gooyong Lee ◽  
Sangeun Lee ◽  
Heekyung Park
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Water Level ◽  
Neural Network Model ◽  
Artificial Neural Network Model ◽  
River Management ◽  
Water Levels ◽  
Short Term

This paper proposes a practical approach of a neuro-genetic algorithm to enhance its capability of predicting water levels of rivers. Its practicality has three attributes: (1) to easily develop a model with a neuro-genetic algorithm; (2) to verify the model at various predicting points with different conditions; and (3) to provide information for making urgent decisions on the operation of river infrastructure. The authors build an artificial neural network model coupled with the genetic algorithm (often called a hybrid neuro-genetic algorithm), and then apply the model to predict water levels at 15 points of four major rivers in Korea. This case study demonstrates that the approach can be highly compatible with the real river situations, such as hydrological disturbances and water infrastructure under emergencies. Therefore, proper adoption of this approach into a river management system certainly improves the adaptive capacity of the system.

West Nile Virus: A Challenge for Transplant Programs

2005 ◽  
Vol 15 (4) ◽  
pp. 397-400 ◽  
Author(s):  
Cindy Hoekstra
Keyword(s):  
New York ◽  
West Nile Virus ◽  
Treatment Options ◽  
West Nile Virus Infection ◽  
Risk Of Infection ◽  
Transplant Recipients ◽  
West Nile ◽  
Limited Experience ◽  
High Treatment

West Nile virus is a new challenge for transplant programs worldwide. It is a mosquito-borne disease, which has become increasingly prevalent in North America since it was first recognized in New York in 1999. A review of a case study and the literature shows that the morbidity and mortality associated with West Nile virus infection and transplant recipients are alarmingly high. Treatment options are limited because of transplant programs' limited experience in working with this virus. Transplant programs must develop action plans for education on West Nile virus and its prevention to decrease the risk of infection among their transplant recipients.

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