Classification Methods in Colon Disease Information System

Anna Kasperczuk , Agnieszka Dardzińska-Głębocka

Abstract

This paper presents the process of building a new logistic regression model, which aims to support the decision-making process in medical database. The developed logistic regression model, J48 classifier and Random Tree algorithm define the probability of the disease and indicates the statistically significant changes that affect the onset of the disease. In our work, we attempted to build a classifier that would classify patients undergoing ulcerative colitis and other conditions within the lower gastrointestinal tract. The value of probability can be treated as one of the feature in decision process of patient’s future treatment.
Author Anna Kasperczuk (FME / DBBE)
Anna Kasperczuk,,
- Department of Biocybernetics and Biomedical Engineering
, Agnieszka Dardzińska-Głębocka (FME / DBBE)
Agnieszka Dardzińska-Głębocka,,
- Department of Biocybernetics and Biomedical Engineering
Pages140-159
Publication size in sheets0.95
Book Hameurlain Abdelkader, Wagner Roland, Dang Tran K. (eds.): Transactions on Large-Scale Data- and Knowledge-Centered Systems XLI, Lecture Notes In Computer Science, vol. 11390, 2019, Springer, ISBN 978-3-662-58807-9, [978-3-662-58808-6], 173 p., DOI:10.1007/978-3-662-58808-6
Keywords in Englishselection, classification, decision system, information system
DOIDOI:10.1007/978-3-662-58808-6_6
Internal identifierROC 19-20
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 13-01-2020, MonographChapterAuthor
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