20.500.12556/DKUM-69046 Napovedovanje rezultatov rehabilitacije Predicting rehabilitation results Pridobili smo datoteko z izbranimi podatki o pacientih in pacientkah, ki so doživeli srčni infarkt. Zanimalo nas je, kateri parametri nam lahko pomagajo napovedati uspešnost rehabilitacije po srčnem infarktu. Proces podatkovnega rudarjenja je bil izveden z uporabo programa Orange. Uporabljene metode podatkovnega rudarjenja so bile Bayesov algoritem, CN2 inducirana pravila in odločitvena drevesa. Z uporabo teh metod je bil zgrajen model, ki omogoča testiranje vsake izmed metod, kar služi primerjavi metod. Za posamezno metodo so bile izbrane ustrezne funkcije vizualizacije, ki predstavijo odločitveno znanje. Naloga obravnava dva izmed možnih kriterijev za uspešno rehabilitacijo. Za vsakega izmed obeh primerov je podana primerjava rezultatov uporabljenih metod. We have obtained a database with the selected information about male and female patients who survived a heart attack. We wanted to know which parameters can help us predict the success of the rehabilitation after the heart attack. The process of data mining was carried out using the Orange program. The used data mining methods were: Bayes algorithm, CN2 rule induction and decision trees. With the use of these methods we built a model that enabled testing of each of the methods. It served as a comparison of the methods. For each method, appropriate visualization features were selected in order to present decision-making knowledge. The task addresses two of the possible criteria for the successful rehabilitation. For each of these two cases we gave a comparison of the results of the used methods. • Podatkovno rudarjenje • Srčni infarkt • Proces rehabilitacije • Data mining • Heart attack • Rehabilitation process true true false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2017-11-23 16:44:51 2017-12-21 11:29:54 2022-08-01 16:49:37 2019-07-11 17:19:09 2017 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 7985427 URN:SI:UM:DK:E6NHDWFY VS_Jancar_Jakob_2017.pdf VS_Jancar_Jakob_2017.pdf 1 4974E394D2559EE6D9C618EDACA8FC28 f0170a59a4a171e2124999da52d9ea82f728670fe8d944972280e67d22b9de2f 83da9a90-7c0f-11eb-bb7a-00155d0001ca 20.500.12556/dkum/5237c9a9-0468-4470-83b5-5147525ea678 https://dk.um.si/Dokument.php?lang=slv&id=120493 Fakulteta za organizacijske vede 0 0 0