Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Serhat Simsek"'
Publikováno v:
Healthcare Analytics, Vol 4, Iss , Pp 100263- (2023)
It is critical for healthcare providers to accurately determine lung cancer patients' prognostics and develop customized treatment plans. However, lung cancer has proven to be a complex disease, and every patient responds differently to treatment opt
Externí odkaz:
https://doaj.org/article/17bbc3b874d84b81b3544e038032ce29
Publikováno v:
Annals of Operations Research. 308:275-305
Artificial Intelligence (AI) is critical for data-driven decision making to increase resource utilization, operational performance, and service quality in various industry domains, particularly in healthcare. Using AI in healthcare operations can sig
Publikováno v:
Journal of Enterprise Information Management. 34:718-732
PurposePredictive analytics and artificial intelligence are perceived as significant drivers to improve organizational performance and managerial decision-making. Hiring employees and contract renewals are instances of managerial decision-making prob
Autor:
João Igor da Rocha Leitão, Riley P. Buley, Mário U. G. Barros, Thaís R. B. T. Aranha, Matthew F. Gladfelter, Alan E. Wilson, Edna G. Fernandez-Figueroa, José Capelo-Neto, Serhat Simsek
Publikováno v:
Water Supply. 20:3517-3530
Managing freshwater systems has become a challenge for global water utilities given that cyanobacterial blooms have been increasing in frequency and intensity. Consequently, a water quality index that uses conventional measurements to assess toxic cy
Publikováno v:
Journal of Business Analytics. 3:158-168
Contrary to the popular belief cited in the literature, the proposed data analytics technique shows that multiple linear regression (MLR) can achieve as high a predictive power as some of the black...
Publikováno v:
Journal of Business Analytics. 3:67-78
This study aims to develop a decision support tool for identifying the point velocity profiles in rivers. The tool enables managers to make timely and accurate decisions, thereby eliminating a subs...
Autor:
Hamidreza Ahady Dolatsara, Eyyub Kibis, Musa Caglar, Serhat Simsek, Ali Dag, Gelareh Ahadi Dolatsara, Dursun Delen
Cryptocurrencies, especially Bitcoin (BTC), have become an important commodity for both individual and corporate investors within the last decade. The limited supply, high volatility, and random price fluctuations have increased investors' interest i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62fa9b1a92adff292cbef2afeea254b2
https://hdl.handle.net/20.500.12713/2679
https://hdl.handle.net/20.500.12713/2679
Understanding breast cancer survival has proven to be a challenging problem for practitioners and researchers. Identifying the factors affecting cancer progression, their interrelationships, and their influence on patients’ long-term survival helps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf684eb00e67b02f74f5b055b784fb56
https://hdl.handle.net/20.500.12154/1716
https://hdl.handle.net/20.500.12154/1716
Publikováno v:
Decision Support Systems. 151:113631
Wells Fargo employees set up 3.5 million fraudulent accounts over several years. Wells Fargo ended up paying $4.5 billion in fines. The Wells Fargo scandal highlights the importance of management actions to prevent misstatements and potential frauds
A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories
Publikováno v:
Omega. 100:102296
Patients who miss their appointments (no-shows) reduce revenues and impair the delivery of quality healthcare. Much research has been devoted to identifying “no-show patients”. In this study, we build a Tree Augmented Naive Bayes (TAN)-based, pro