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Pregled bibliografske jedinice broj: 1054485

Systems biology as a conceptual framework for research in family medicine; use in predicting response to influenza vaccination


Majnarić-Trtica, Ljiljana; Vitale, Branko
Systems biology as a conceptual framework for research in family medicine; use in predicting response to influenza vaccination // Primary Health Care Research & Development, 12 (2011), 04; 310-321 doi:10.1017/s1463423611000089 (međunarodna recenzija, članak, znanstveni)


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Naslov
Systems biology as a conceptual framework for research in family medicine; use in predicting response to influenza vaccination

Autori
Majnarić-Trtica, Ljiljana ; Vitale, Branko

Izvornik
Primary Health Care Research & Development (1463-4236) 12 (2011), 04; 310-321

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
family medicine ; influenza vaccination ; outcome ; prediction ; systems research

Sažetak
Aim: To introduce systems biology as a conceptual framework for research in family medicine, based on empirical data from a case study on the prediction of influenza vaccination outcomes. This concept is primarily oriented towards planning preventive interventions and includes systematic data recording, a multi-step research protocol and predictive modelling. Background: Factors known to affect responses to influenza vaccination include older age, past exposure to influenza viruses, and chronic diseases ; however, constructing useful prediction models remains a challenge, because of the need to identify health parameters that are appropriate for general use in modelling patients’ responses. Methods: The sample consisted of 93 patients aged 50–89 years (median 69), with multiple medical conditions, who were vaccinated against influenza. Literature searches identified potentially predictive health- related parameters, including age, gender, diagnoses of the main chronic ageing diseases, anthropometric measures, and haematological and biochemical tests. By applying data mining algorithms, patterns were identified in the data set. Candidate health parameters, selected in this way, were then combined with information on past influenza virus exposure to build the prediction model using logistic regression. Findings: A highly significant prediction model was obtained, indicating that by using a systems biology approach it is possible to answer unresolved complex medical uncertainties. Adopting this systems biology approach can be expected to be useful in identifying the most appropriate target groups for other preventive programmes.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove:
Medicinski fakultet, Osijek

Profili:

Avatar Url Branko Vitale (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Majnarić-Trtica, Ljiljana; Vitale, Branko
Systems biology as a conceptual framework for research in family medicine; use in predicting response to influenza vaccination // Primary Health Care Research & Development, 12 (2011), 04; 310-321 doi:10.1017/s1463423611000089 (međunarodna recenzija, članak, znanstveni)
Majnarić-Trtica, L. & Vitale, B. (2011) Systems biology as a conceptual framework for research in family medicine; use in predicting response to influenza vaccination. Primary Health Care Research & Development, 12 (04), 310-321 doi:10.1017/s1463423611000089.
@article{article, author = {Majnari\'{c}-Trtica, Ljiljana and Vitale, Branko}, year = {2011}, pages = {310-321}, DOI = {10.1017/s1463423611000089}, keywords = {family medicine, influenza vaccination, outcome, prediction, systems research}, journal = {Primary Health Care Research and Development}, doi = {10.1017/s1463423611000089}, volume = {12}, number = {04}, issn = {1463-4236}, title = {Systems biology as a conceptual framework for research in family medicine; use in predicting response to influenza vaccination}, keyword = {family medicine, influenza vaccination, outcome, prediction, systems research} }
@article{article, author = {Majnari\'{c}-Trtica, Ljiljana and Vitale, Branko}, year = {2011}, pages = {310-321}, DOI = {10.1017/s1463423611000089}, keywords = {family medicine, influenza vaccination, outcome, prediction, systems research}, journal = {Primary Health Care Research and Development}, doi = {10.1017/s1463423611000089}, volume = {12}, number = {04}, issn = {1463-4236}, title = {Systems biology as a conceptual framework for research in family medicine; use in predicting response to influenza vaccination}, keyword = {family medicine, influenza vaccination, outcome, prediction, systems research} }

Časopis indeksira:


  • MEDLINE


Citati:





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