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Annals of Operations Research|June 26, 2023
A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseasesKazim Topuz, Behrooz Davazdahemami, Dursun DelenArtificial Intelligence in Medicine|May 17, 2005
Predicting breast cancer survivability: a comparison of three data mining methodsDursun Delen, Glenn Walker, Amit KadamIEEE Journal of Biomedical and Health Informatics|January 11, 2015
A Novel Method for Automated Diagnosis of Epilepsy Using Complex-Valued ClassifiersMusa Peker, Baha Sen, Dursun DelenInternational Journal of Medical Informatics|June 6, 2009
Predicting the graft survival for heart-lung transplantation patients: an integrated data mining methodologyAsil Oztekin, Dursun Delen, Zhenyu James KongHealthcare Analytics (New York, N.Y.)|July 31, 2023
An explanatory analytics framework for early detection of chronic risk factors in pandemicsBehrooz Davazdahemami, Hamed M Zolbanin, Dursun DelenArtificial Intelligence in Medicine|February 16, 2010
A machine learning-based approach to prognostic analysis of thoracic transplantationsDursun Delen, Asil Oztekin, Zhenyu James KongInformation Systems Frontiers : a Journal of Research and Innovation|June 26, 2023
Predicting and Mitigating Freshmen Student Attrition: A Local-Explainable Machine Learning FrameworkDursun Delen, Behrooz Davazdahemami, Elham Rasouli DezfouliDecision Support Systems|January 24, 2022
An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissionsBehrooz Davazdahemami, Hamed M Zolbanin, Dursun DelenMhealth|February 13, 2018
Text-mining analysis of mHealth researchBunyamin Ozaydin, Ferhat Zengul, Nurettin Oner, et al.Health Informatics Journal|January 12, 2018
Predicting and explaining inflammation in Crohn's disease patients using predictive analytics methods and electronic medical record dataBhargava K Reddy, Dursun Delen, Rupesh K AgrawalPageof 11