Naslov
Decision Support Systems in Health Care – Velocity of Apriori Algorithm

Autori
Somek, Mario ; Hercigonja-Szekeres, Mira

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
The Practice of Patient Centered Care: Empowering and Engaging Patients in the Digital Era / Engelbrecht, Rolf ; Balicer, Ran ; Hercigonja-Szekeres, Mira - Tel Aviv : Studies in Health Technology and Informatics, 2017, 53-57

ISBN
978-1-61499-823-5

Skup
The practice of patient centered care: Empowering and engaging patients in the digital era

Mjesto i datum
Tel Aviv, Izrael, 23.10.2017. - 24.10.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Decision support ; Generate rules ; Apriori algorithm, Health care
(decision support ; generate rules ; Apriori algorithm, health care)

Sažetak
The amount of stored data in health information systems can reach teraand petabytes and application of specific algorithms in the field of data mining makes finding useful information suitable for making quality business decisions. A frequently used method for determining the rules of the relationship between attributes is the Association rule by applying Apriori algorithm. Lack of basic Apriori algorithm is derived from the slow work due to multiple scanned data sets. By examining the speed of generating the basic rules in relation to the improved Apriori algorithm by using software RapidMiner confirmed that the time required to generate rules for Improved algorithm is shorter, the rules are quickly generated particularly for large data sets, which is an advantage for making decisions.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA