Improving hard-to-place kidney allocation: A machine learning approach to center ranking.
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| Title: | Improving hard-to-place kidney allocation: A machine learning approach to center ranking. |
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| Authors: | Berry S; Department of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada., Görgülü B; DeGroote School of Business, McMaster University, Hamilton, ON, L8S 4M4, Canada. gorgulub@mcmaster.ca., Tunç S; Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA., Cevik M; Department of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada., Ellis MJ; Department of Medicine & Department of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA. |
| Source: | Health care management science [Health Care Manag Sci] 2026 Jul 15; Vol. 29 (3). Date of Electronic Publication: 2026 Jul 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Baltzer Science Publishers Country of Publication: Netherlands NLM ID: 9815649 Publication Model: Electronic Cited Medium: Internet ISSN: 1572-9389 (Electronic) Linking ISSN: 13869620 NLM ISO Abbreviation: Health Care Manag Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1572-9389 |
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| DOI: | 10.1007/s10729-026-09777-3 |
