A Pilot study on Prediction of Pouchitis in Ulcerative Colitis Patients by Decision Tree Method Versus Logistic Regression Analysis

Background Pouchitis is a non-specific inflammation of the ileal reservoir and the most frequent complication that patients experience in long periods. Diagnosis should be made based on the clinical, endoscopic, and histological aspects. Prediction of pouchitis is an important issue for the physici...

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Autores principales:	Saeedeh Pourahmad, Ali Reza Safarpour, Alimohammad Bananzadeh, Salar Rahimikazerooni, Zahra Zabangirfard
Formato:	article
Lenguaje:	EN
Publicado:	Shiraz University of Medical Sciences 2013
Materias:	pouchitis ulcerative colitis decision trees logistic regression Medicine R
Acceso en línea:	https://doaj.org/article/bcf2db7debe547ac98f3133b49bf22af
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spelling	oai:doaj.org-article:bcf2db7debe547ac98f3133b49bf22af2021-11-14T07:53:33ZA Pilot study on Prediction of Pouchitis in Ulcerative Colitis Patients by Decision Tree Method Versus Logistic Regression Analysis2783-243010.17795/acr-12649https://doaj.org/article/bcf2db7debe547ac98f3133b49bf22af2013-09-01T00:00:00Zhttps://colorectalresearch.sums.ac.ir/article_45451_47b21e54f2d15941ccc50648b4ebbcb5.pdfhttps://doaj.org/toc/2783-2430Background Pouchitis is a non-specific inflammation of the ileal reservoir and the most frequent complication that patients experience in long periods. Diagnosis should be made based on the clinical, endoscopic, and histological aspects. Prediction of pouchitis is an important issue for the physician. Objectives The study was aimed to identify the predictive factors of pouchitis as well as their importance. Patients and Methods In the present study, two classification techniques entitled decision trees method and logistic regression analysis were used to help the physician in prediction of pouchitis in ulcerative colitis (UC) patients. These patients are submitted to a specific surgery. The ability of these two methods in prediction is achieved by comparison of the accuracy of the correct predictions (the minimum error rate) and the interpretability and simplification of the results for clinical experts. Results The accuracy rate in prediction is 0.6 for logistic regression method and 0.45 for decision tree algorithm. In addition, the mean squared error is lower for logistic regression (0.41 versus 0.48). However, the area under the ROC is more for decision tree than logistic regression (0.52 and 0.45 respectively). Conclusions The results are not in favor of none of these two methods. However, the simplicity of decision tree for clinical experts and theoretical assumptions of logistic regression method make the choice clear. But more sample size may be needed to choose the best model with more confident.Saeedeh PourahmadAli Reza SafarpourAlimohammad BananzadehSalar RahimikazerooniZahra ZabangirfardShiraz University of Medical Sciencesarticlepouchitisulcerative colitisdecision treeslogistic regressionMedicineRENIranian Journal of Colorectal Research, Vol 1, Iss 2, Pp 6-7 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	pouchitis ulcerative colitis decision trees logistic regression Medicine R
spellingShingle	pouchitis ulcerative colitis decision trees logistic regression Medicine R Saeedeh Pourahmad Ali Reza Safarpour Alimohammad Bananzadeh Salar Rahimikazerooni Zahra Zabangirfard A Pilot study on Prediction of Pouchitis in Ulcerative Colitis Patients by Decision Tree Method Versus Logistic Regression Analysis
description	Background Pouchitis is a non-specific inflammation of the ileal reservoir and the most frequent complication that patients experience in long periods. Diagnosis should be made based on the clinical, endoscopic, and histological aspects. Prediction of pouchitis is an important issue for the physician. Objectives The study was aimed to identify the predictive factors of pouchitis as well as their importance. Patients and Methods In the present study, two classification techniques entitled decision trees method and logistic regression analysis were used to help the physician in prediction of pouchitis in ulcerative colitis (UC) patients. These patients are submitted to a specific surgery. The ability of these two methods in prediction is achieved by comparison of the accuracy of the correct predictions (the minimum error rate) and the interpretability and simplification of the results for clinical experts. Results The accuracy rate in prediction is 0.6 for logistic regression method and 0.45 for decision tree algorithm. In addition, the mean squared error is lower for logistic regression (0.41 versus 0.48). However, the area under the ROC is more for decision tree than logistic regression (0.52 and 0.45 respectively). Conclusions The results are not in favor of none of these two methods. However, the simplicity of decision tree for clinical experts and theoretical assumptions of logistic regression method make the choice clear. But more sample size may be needed to choose the best model with more confident.
format	article
author	Saeedeh Pourahmad Ali Reza Safarpour Alimohammad Bananzadeh Salar Rahimikazerooni Zahra Zabangirfard
author_facet	Saeedeh Pourahmad Ali Reza Safarpour Alimohammad Bananzadeh Salar Rahimikazerooni Zahra Zabangirfard
author_sort	Saeedeh Pourahmad
title	A Pilot study on Prediction of Pouchitis in Ulcerative Colitis Patients by Decision Tree Method Versus Logistic Regression Analysis
title_short	A Pilot study on Prediction of Pouchitis in Ulcerative Colitis Patients by Decision Tree Method Versus Logistic Regression Analysis
title_full	A Pilot study on Prediction of Pouchitis in Ulcerative Colitis Patients by Decision Tree Method Versus Logistic Regression Analysis
title_fullStr	A Pilot study on Prediction of Pouchitis in Ulcerative Colitis Patients by Decision Tree Method Versus Logistic Regression Analysis
title_full_unstemmed	A Pilot study on Prediction of Pouchitis in Ulcerative Colitis Patients by Decision Tree Method Versus Logistic Regression Analysis
title_sort	pilot study on prediction of pouchitis in ulcerative colitis patients by decision tree method versus logistic regression analysis
publisher	Shiraz University of Medical Sciences
publishDate	2013
url	https://doaj.org/article/bcf2db7debe547ac98f3133b49bf22af
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A Pilot study on Prediction of Pouchitis in Ulcerative Colitis Patients by Decision Tree Method Versus Logistic Regression Analysis

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