<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The article presents the process of building a logistic regression model, which aims to support the decision-making process in medicine. Currently, there is no precise diagnosis for ulcerative colitis (UC) and Crohn's disease (CD). Specialist physicians must exclude many other diseases occurring in the colon. The first goal of this study is a retrospective analysis of medical data of patients hospitalized in the Department of Gastroenterology and Internal Diseases and finding the symptoms differentiating the two analyzed diseases. The second goal is to build a system that clearly points to UC or CD, which shortens the time of diagnosis and facilitates the treatment of patients. The work focuses on building a model that can be the basis for the construction of classifiers, which are one of the basic elements in the medical recommendation system. The developed logistic regression model will define the probability of the disease and will indicate the statistically significant changes that affect the onset of the disease. The value of probability will be one of the main reasons for the decision.</p></abstract>

The article presents the process of building a logistic regression model, which aims to support the decision-making process in medicine. Currently, there is no precise diagnosis for ulcerative colitis (UC) and Crohn's disease (CD). Specialist physicians must exclude many other diseases occurring in the colon. The first goal of this study is a retrospective analysis of medical data of patients hospitalized in the Department of Gastroenterology and Internal Diseases and finding the symptoms differentiating the two analyzed diseases. The second goal is to build a system that clearly points to UC or CD, which shortens the time of diagnosis and facilitates the treatment of patients. The work focuses on building a model that can be the basis for the construction of classifiers, which are one of the basic elements in the medical recommendation system. The developed logistic regression model will define the probability of the disease and will indicate the statistically significant changes that affect the onset of the disease. The value of probability will be one of the main reasons for the decision.

Decision-Making Process in Colon Disease and Crohn’s Disease Treatment

Faculty of Mechanical Engineering, Department of Biocybernetics and Biomedical Engineering

Acta Mechanica et Automatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Decision-Making Process in Colon Disease and Crohn\u2019s Disease Treatment"}

The article presents the process of building a logistic regression model, which aims to support the decision-making process in medicine. Currently, there is no...

Decision-Making Process in Colon Disease and Crohn’s Disease Treatment

Online veröffentlicht: 16. Okt. 2018

Seitenbereich: 227 - 231

Eingereicht: 25. Mai 2017

Akzeptiert: 21. Sept. 2018

DOI: https://doi.org/10.2478/ama-2018-0035

Schlüsselwörter
Colon Disease, Logistic Regression, Decision System, Information System

© 2018 Bialystok University of Technology published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Decision-Making Process in Colon Disease and Crohn’s Disease Treatment

Online veröffentlicht: 16. Okt. 2018

Seitenbereich: 227 - 231

Eingereicht: 25. Mai 2017

Akzeptiert: 21. Sept. 2018

DOI: https://doi.org/10.2478/ama-2018-0035

SchlüsselwörterColon Disease, Logistic Regression, Decision System, Information System

© 2018 Bialystok University of Technology published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Colon Disease, Logistic Regression, Decision System, Information System