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Prediction of treatment results for patients with rheumatoid arthritis

Jong, A.M. de (2020) Prediction of treatment results for patients with rheumatoid arthritis.

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Abstract:The RAAD-score is a measurement for long term irreversible joint damage for patients with rheumatoid arthritis. The goal of this study is to predict the RAAD-score and to see which variables can explain the RAAD-score. Patient classification will be used for both. Multiple methods were considered for patient classification. The methods that are applied to the data are CART, random forest, and Naive Bayes. One of the importance measures from the random forest method is used to determine the most important variables. Based on the computations in this research it can be concluded that predicting the RAAD-score for patients with rheumatoid arthritis, using one of the mentioned methods, is not easy. Main reason for this is that the data set is complicated and on both numerical and classification aspects.
Item Type:Essay (Bachelor)
Clients:
Ziekenhuisgroep Twente, NL
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics, 44 medicine
Programme:Applied Mathematics BSc (56965)
Link to this item:http://purl.utwente.nl/essays/81877
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