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Modelling Influenza Vaccination Outcomes (CROSBI ID 276829)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Trtica-Majnaric, Ljiljana ; Sarlija, Natasa ; Vitale, Branko Modelling Influenza Vaccination Outcomes // World journal of vaccines, 02 (2012), 01; 12-20. doi: 10.4236/wjv.2012.21002

Podaci o odgovornosti

Trtica-Majnaric, Ljiljana ; Sarlija, Natasa ; Vitale, Branko

engleski

Modelling Influenza Vaccination Outcomes

Modelling response to influenza vaccination can improve our understanding of how proposed factors, older age, past exposure to influenza viruses, and health disorders, used together, affect antibody production after influenza vaccination. Knowledge about this may be important when planning influenza vaccination protocols. This problem will be em- phasized especially in the future, when many alternative vaccines and vaccination approaches are likely to be allowed for a routine use. A major difficulty, in modelling response to influenza vaccination, is how to identify health para- meters, suitable for general use. To deal with the complexity of this task, we reached out for the concept of a systems biology and machine learning methods. Based on this approach, we showed that it is possible to construct useful models of influenza vaccination outcomes. In addition, by varying criteria for definition of the model’s outcome measure, that is, of low antibody response to influenza vaccination, we showed that a set of health parameters, albeit limited, are necessary for model to achieve a wider practical use.

nfluenza Vaccination Outcome ; Modeling ; The Health-Status ; Systems Biology ; Logistic Regression ; Vaccination Protocols

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Podaci o izdanju

02 (01)

2012.

12-20

objavljeno

2160-5815

10.4236/wjv.2012.21002

Povezanost rada

nije evidentirano

Poveznice