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An Analytical Approach to Predict the Performance of Thoracic Transplantations

Oztekin, Asil - 2012

Predicting the performance of planned organ transplantation has proved to be a critical problem to solve. The purpose of this study is to present a data mining-based model for variable filtering and selection in order to predict the performance of thoracic transplantation via the graft...

Persistent link: https://www.econbiz.de/10014165848

Improving imbalanced machine learning with neighborhood-informed synthetic sample placement

Nasir, Murtaza; Dag, Ali; Simsek, Serhat; Ivanov, Anton; … - In: Journal of management information systems : JMIS 39 (2022) 4, pp. 1116-1145

Persistent link: https://www.econbiz.de/10013490878

DEANN : a healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status

Misiunas, Nicholas; Oztekin, Asil; Chen, Yao; Chandra, … - In: Omega : the international journal of management science 58 (2016), pp. 46-54

Persistent link: https://www.econbiz.de/10011416986

Predicting pediatric clinic no-shows : a decision analytic framework using elastic net and Bayesian belief network

Topuz, Kazim; Uner, Hasmet; Oztekin, Asil; Yildirim, … - In: Data mining and analytics, (pp. 479-499). 2018

Persistent link: https://www.econbiz.de/10011823822

A Bayesian belief network-based probabilistic mechanism to determine patient no-show risk categories

Simsek, Serhat; Dag, Ali; Tiahrt, Thomas; Oztekin, Asil - In: Omega : the international journal of management science 100 (2021), pp. 1-16

Persistent link: https://www.econbiz.de/10012494634