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Pregled bibliografske jedinice broj: 1054285

A View at the Future – A Dynamical, Protocol- based and Computationally Intensive Approach in Cardiovascular Risk Assessment


Majnarić-Trtica, Ljiljana; Vitale, Branko; Martinis, Mladen; Reiner, Željko
A View at the Future – A Dynamical, Protocol- based and Computationally Intensive Approach in Cardiovascular Risk Assessment // Collegium antropologicum, 34 (2010), 2; 437-445 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1054285 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A View at the Future – A Dynamical, Protocol- based and Computationally Intensive Approach in Cardiovascular Risk Assessment

Autori
Majnarić-Trtica, Ljiljana ; Vitale, Branko ; Martinis, Mladen ; Reiner, Željko

Izvornik
Collegium antropologicum (0350-6134) 34 (2010), 2; 437-445

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

Ključne riječi
cardiovascular risk assessment ; new approach ; systems biology ; systematic health data record ; computation ; protocol-based prediction

Sažetak
Knowledge of cardiovascular risk factors is increasing. At the same time, risk estimation becomes more and more difficult. The need for a more comprehensive, but more individually based approach is evident. To achieve this aim, we propose a systems biology approach in cardiovascular risk assessment. This means that a large amount of health data, describing many aspects of the health-status of patients, is collected and computed and the results are compared with existing knowledge. Finally, a clinical model is created, which can be the first step in ongoing research protocol, aimed at assessing cardiovascular risk. By using this approach, all potentially relevant risk factors can be identified on a small sample. Moreover, risk groups can be more specifically defined, based on the »natural« clustering of data, according to their predictive load. We tested this possibility on an example of hyperhomocysteinemia which is a well-known complex cardiovascular risk factor.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove:
Medicinski fakultet, Osijek

Profili:

Avatar Url Željko Reiner (autor)

Avatar Url Mladen Martinis (autor)

Avatar Url Branko Vitale (autor)


Citiraj ovu publikaciju:

Majnarić-Trtica, Ljiljana; Vitale, Branko; Martinis, Mladen; Reiner, Željko
A View at the Future – A Dynamical, Protocol- based and Computationally Intensive Approach in Cardiovascular Risk Assessment // Collegium antropologicum, 34 (2010), 2; 437-445 (međunarodna recenzija, članak, znanstveni)
Majnarić-Trtica, L., Vitale, B., Martinis, M. & Reiner, Ž. (2010) A View at the Future – A Dynamical, Protocol- based and Computationally Intensive Approach in Cardiovascular Risk Assessment. Collegium antropologicum, 34 (2), 437-445.
@article{article, author = {Majnari\'{c}-Trtica, Ljiljana and Vitale, Branko and Martinis, Mladen and Reiner, \v{Z}eljko}, year = {2010}, pages = {437-445}, keywords = {cardiovascular risk assessment, new approach, systems biology, systematic health data record, computation, protocol-based prediction}, journal = {Collegium antropologicum}, volume = {34}, number = {2}, issn = {0350-6134}, title = {A View at the Future – A Dynamical, Protocol- based and Computationally Intensive Approach in Cardiovascular Risk Assessment}, keyword = {cardiovascular risk assessment, new approach, systems biology, systematic health data record, computation, protocol-based prediction} }
@article{article, author = {Majnari\'{c}-Trtica, Ljiljana and Vitale, Branko and Martinis, Mladen and Reiner, \v{Z}eljko}, year = {2010}, pages = {437-445}, keywords = {cardiovascular risk assessment, new approach, systems biology, systematic health data record, computation, protocol-based prediction}, journal = {Collegium antropologicum}, volume = {34}, number = {2}, issn = {0350-6134}, title = {A View at the Future – A Dynamical, Protocol- based and Computationally Intensive Approach in Cardiovascular Risk Assessment}, keyword = {cardiovascular risk assessment, new approach, systems biology, systematic health data record, computation, protocol-based prediction} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE





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