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ORCIDMehmet Ayvaci
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2020 – today
- 2024
[c5]Eren Ahsen, Mehmet Ayvaci, Srinivasan Raghunathan, Ramanath Subramanyam:
Contests for Predictive Algorithms: Ensembling, Interdependency, and Optimal Rewards Design. HICSS 2024: 6171-6180- 2023
- [j7]Jan Vlachy, Turgay Ayer
, Mehmet Ayvaci, Srinivasan Raghunathan:
The Business of Healthcare: The Role of Physician Integration in Bundled Payments. Manuf. Serv. Oper. Manag. 25(3): 996-1012 (2023) - [j6]Idris Adjerid, Mehmet U. S. Ayvaci, Özalp Özer:
Value of Algorithm-Enabled Process Innovation: The Case of Sepsis. Manuf. Serv. Oper. Manag. 25(4): 1545-1566 (2023) - [c4]Mehmet Eren Ahsen, Mehmet Ayvaci, Radha Mookerjee:
When Machines Will Take Over? Algorithms for Human-Machine Collaborative Decision Making in Healthcare. HICSS 2023: 5733-5740 - 2021
- [j5]Mehmet U. S. Ayvaci, Huseyin Cavusoglu, Yeongin Kim, Srinivasan Raghunathan:
Designing Payment Contracts for Healthcare Services to Induce Information Sharing: The Adoption and the Value of Health Information Exchanges (HIEs). MIS Q. 45(2) (2021)
2010 – 2019
- 2019
- [j4]Mehmet Eren Ahsen, Mehmet U. S. Ayvaci, Srinivasan Raghunathan:
When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis. Inf. Syst. Res. 30(1): 97-116 (2019) - [c3]Yeongin Kim, Mehmet Ayvaci, Srinivasan Raghunathan, Bekir Tanriöver:
Repairing the Digital Divide Can Increase the Service Divide: The Effects of Patient Portals on Kidney Allocation. HICSS 2019: 1-10 - 2015
- [j3]Oguzhan Alagöz, Mehmet U. S. Ayvaci, Jeffrey T. Linderoth:
Optimally solving Markov decision processes with total expected discounted reward function: Linear programming revisited. Comput. Ind. Eng. 87: 311-316 (2015) - 2013
- [j2]Yirong Wu, Oguzhan Alagöz, Mehmet Ayvaci, Alejandro Munoz del Rio, David J. Vanness, Ryan S. Woods, Elizabeth S. Burnside:
A Comprehensive Methodology for Determining the Most Informative Mammographic Features. J. Digit. Imaging 26(5): 941-947 (2013) - 2012
- [j1]Mehmet Ayvaci, Oguzhan Alagöz, Elizabeth S. Burnside:
The Effect of Budgetary Restrictions on Breast Cancer Diagnostic Decisions. Manuf. Serv. Oper. Manag. 14(4): 600-617 (2012) - 2010
- [c2]Houssam Nassif, David Page, Mehmet Ayvaci, Jude W. Shavlik, Elizabeth S. Burnside:
Uncovering age-specific invasive and DCIS breast cancer rules using inductive logic programming. IHI 2010: 76-82
2000 – 2009
- 2009
- [c1]Houssam Nassif, Ryan W. Woods, Elizabeth S. Burnside, Mehmet Ayvaci, Jude W. Shavlik, David Page:
Information Extraction for Clinical Data Mining: A Mammography Case Study. ICDM Workshops 2009: 37-42
Coauthor Index
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