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Pregled bibliografske jedinice broj: 449865

HEARTFAID's ECRF: Lessons learnt from using a two-level data acquisition and storage system for knowledge discovery tasks within an electronic platform for managing heart failure patients

Kononowicz, Andrzej; Styczkiewicz, Katarzyna; Bacior, Bogumila; Bošnjak, Matko; Horvat, Rajko; Prcela, Marin; Gamberger, Dragan; Sciacqua, Angela; Valentini, Maria Consuelo; Kawecka-Jaszcz, Kalina et al.
HEARTFAID's ECRF: Lessons learnt from using a two-level data acquisition and storage system for knowledge discovery tasks within an electronic platform for managing heart failure patients // Bio-Algorithms and Med-Systems, 5 (2009), 10; 59-69 (podatak o recenziji nije dostupan, članak, znanstveni)

CROSBI ID: 449865 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
HEARTFAID's ECRF: Lessons learnt from using a two-level data acquisition and storage system for knowledge discovery tasks within an electronic platform for managing heart failure patients

Autori
Kononowicz, Andrzej ; Styczkiewicz, Katarzyna ; Bacior, Bogumila ; Bošnjak, Matko ; Horvat, Rajko ; Prcela, Marin ; Gamberger, Dragan ; Sciacqua, Angela ; Valentini, Maria Consuelo ; Kawecka-Jaszcz, Kalina ; Parati, Gianfranco ; Conforti, Domenico ;

Izvornik
Bio-Algorithms and Med-Systems (1895-9091) 5 (2009), 10; 59-69

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

Ključne riječi
Electronic Data Capture ; Remote Data Entry ; EAV ; Two Layers Modelling ; eCRF ; Spring Framework

Sažetak
Case report forms are important sources of medical knowledge in all clinical studies. Electronic versions of these forms have several advantages compared to traditional paper-based questionnaires, and they have been adopted in many contemporary research projects in medicine. This paper presents a framework for creating case report forms designed with a two-level approach. Data at the generic information model level is stored in EAV (entity-attribute-value) tables and extended by tables facilitating specification of the questionnaire layout. The second layer (knowledge model) specifies the domain specific concepts describing the field of application of the questionnaire. This framework has been applied and tested in the frame of an EU FP6 research project – HEARTFAID – the objective of which was to build a knowledge-based platform supporting the management of elderly patients suffering from heart failure. Data collected by the electronic case report form (eCRF) was used in the project’s knowledge discovery and decision support tasks. The work presents a new way for effective extraction of the data necessary for the integration with the knowledge discovery process in a distributed, service oriented framework of the HEARTFAID platform. It is demonstrated that it is feasible to implement these tasks using the two-level EAV table design.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA

Projekti:
098-0982560-2563 - Algoritmi strojnog učenja i njihova primjena (Gamberger, Dragan, MZOS ) ( CroRIS)

Ustanove:
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Marin Prcela (autor)

Avatar Url Rajko Horvat (autor)

Avatar Url Dragan Gamberger (autor)

Citiraj ovu publikaciju:

Kononowicz, Andrzej; Styczkiewicz, Katarzyna; Bacior, Bogumila; Bošnjak, Matko; Horvat, Rajko; Prcela, Marin; Gamberger, Dragan; Sciacqua, Angela; Valentini, Maria Consuelo; Kawecka-Jaszcz, Kalina et al.
HEARTFAID's ECRF: Lessons learnt from using a two-level data acquisition and storage system for knowledge discovery tasks within an electronic platform for managing heart failure patients // Bio-Algorithms and Med-Systems, 5 (2009), 10; 59-69 (podatak o recenziji nije dostupan, članak, znanstveni)
Kononowicz, A., Styczkiewicz, K., Bacior, B., Bošnjak, M., Horvat, R., Prcela, M., Gamberger, D., Sciacqua, A., Valentini, M. & Kawecka-Jaszcz, K. (2009) HEARTFAID's ECRF: Lessons learnt from using a two-level data acquisition and storage system for knowledge discovery tasks within an electronic platform for managing heart failure patients. Bio-Algorithms and Med-Systems, 5 (10), 59-69.
@article{article, author = {Kononowicz, Andrzej and Styczkiewicz, Katarzyna and Bacior, Bogumila and Bo\v{s}njak, Matko and Horvat, Rajko and Prcela, Marin and Gamberger, Dragan and Sciacqua, Angela and Valentini, Maria Consuelo and Kawecka-Jaszcz, Kalina and Parati, Gianfranco and Conforti, Domenico}, year = {2009}, pages = {59-69}, keywords = {Electronic Data Capture, Remote Data Entry, EAV, Two Layers Modelling, eCRF, Spring Framework}, journal = {Bio-Algorithms and Med-Systems}, volume = {5}, number = {10}, issn = {1895-9091}, title = {HEARTFAID's ECRF: Lessons learnt from using a two-level data acquisition and storage system for knowledge discovery tasks within an electronic platform for managing heart failure patients}, keyword = {Electronic Data Capture, Remote Data Entry, EAV, Two Layers Modelling, eCRF, Spring Framework} }
@article{article, author = {Kononowicz, Andrzej and Styczkiewicz, Katarzyna and Bacior, Bogumila and Bo\v{s}njak, Matko and Horvat, Rajko and Prcela, Marin and Gamberger, Dragan and Sciacqua, Angela and Valentini, Maria Consuelo and Kawecka-Jaszcz, Kalina and Parati, Gianfranco and Conforti, Domenico}, year = {2009}, pages = {59-69}, keywords = {Electronic Data Capture, Remote Data Entry, EAV, Two Layers Modelling, eCRF, Spring Framework}, journal = {Bio-Algorithms and Med-Systems}, volume = {5}, number = {10}, issn = {1895-9091}, title = {HEARTFAID's ECRF: Lessons learnt from using a two-level data acquisition and storage system for knowledge discovery tasks within an electronic platform for managing heart failure patients}, keyword = {Electronic Data Capture, Remote Data Entry, EAV, Two Layers Modelling, eCRF, Spring Framework} }

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